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NEW QUESTION 19
You have an Azure Databricks resource.
You need to log actions that relate to changes in compute for the Databricks resource.
Which Databricks services should you log?
- A. DBFS
- B. workspace
- C. clusters
- D. jobs
- E. SSH
Answer: B
Explanation:
Cloud Provider Infrastructure Logs.
Databricks logging allows security and admin teams to demonstrate conformance to data governance standards within or from a Databricks workspace. Customers, especially in the regulated industries, also need records on activities like:
User access control to cloud data storage
Cloud Identity and Access Management roles
User access to cloud network and compute
Azure Databricks offers three distinct workloads on several VM Instances tailored for your data analytics workflow-the Jobs Compute and Jobs Light Compute workloads make it easy for data engineers to build and execute jobs, and the All-Purpose Compute workload makes it easy for data scientists to explore, visualize, manipulate, and share data and insights interactively.
Reference:
https://databricks.com/blog/2020/03/25/trust-but-verify-with-databricks.html
NEW QUESTION 20
DRAG DROP
You need to configure user authentication for the SERVER1 databases. The solution must meet the security
and compliance requirements.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of
actions to the answer area and arrange them in the correct order.
Select and Place:
Answer:
Explanation:
Section: [none]
Explanation:
Scenario: Authenticate database users by using Active Directory credentials.
The configuration steps include the following procedures to configure and use Azure Active Directory
authentication.
1. Create and populate Azure AD.
2. Optional: Associate or change the active directory that is currently associated with your Azure Subscription.
3. Create an Azure Active Directory administrator. (Step 1)
4. Configure your client computers.
5. Create contained database users in your database mapped to Azure AD identities. (Step 2)
6. Connect to your database by using Azure AD identities. (Step 3)
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/authentication-aad-overview
Testlet 2
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you
would like to complete each case. However, there may be additional case studies and sections on this exam.
You must manage your time to ensure that you are able to complete all questions included on this exam in the
time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the
case study. Case studies might contain exhibits and other resources that provide more information about the
scenario that is described in the case study. Each question is independent of the other questions in this case
study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to
make changes before you move to the next section of the exam. After you begin a new section, you cannot
return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore
the content of the case study before you answer the questions. Clicking these buttons displays information such
as business requirements, existing environment, and problem statements. If the case study has an All
Information tab, note that the information displayed is identical to the information displayed on the subsequent
tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Existing Environment
Contoso, Ltd. is a financial data company that has 100 employees. The company delivers financial data to
customers.
Active Directory
Contoso has a hybrid Azure Active Directory (Azure AD) deployment that syncs to on-premises Active
Directory.
Database Environment
Contoso has SQL Server 2017 on Azure virtual machines shown in the following table.
SQL1 and SQL2 are in an Always On availability group and are actively queried. SQL3 runs jobs, provides
historical data, and handles the delivery of data to customers.
The on-premises datacenter contains a PostgreSQL server that has a 50-TB database.
Current Business Model
Contoso uses Microsoft SQL Server Integration Services (SSIS) to create flat files for customers. The
customers receive the files by using FTP.
Requirements
Planned Changes
Contoso plans to move to a model in which they deliver data to customer databases that run as platform as a
service (PaaS) offerings. When a customer establishes a service agreement with Contoso, a separate resource
group that contains an Azure SQL database will be provisioned for the customer. The database will have a
complete copy of the financial data. The data to which each customer will have access will depend on the
service agreement tier. The customers can change tiers by changing their service agreement.
The estimated size of each PaaS database is 1 TB.
Contoso plans to implement the following changes:
* Move the PostgreSQL database to Azure Database for PostgreSQL during the next six months.
* Upgrade SQL1, SQL2, and SQL3 to SQL Server 2019 during the next few months.
* Start onboarding customers to the new PaaS solution within six months.
Business Goals
Contoso identifies the following business requirements:
* Use built-in Azure features whenever possible.
* Minimize development effort whenever possible.
* Minimize the compute costs of the PaaS solutions.
* Provide all the customers with their own copy of the database by using the PaaS solution.
* Provide the customers with different table and row access based on the customer's service agreement.
* In the event of an Azure regional outage, ensure that the customers can access the PaaS solution with
minimal downtime. The solution must provide automatic failover.
* Ensure that users of the PaaS solution can create their own database objects but he prevented from
modifying any of the existing database objects supplied by Contoso.
Technical Requirements
Contoso identifies the following technical requirements:
* Users of the PaaS solution must be able to sign in by using their own corporate Azure AD credentials or
have Azure AD credentials supplied to them by Contoso. The solution must avoid using the internal Azure
AD of Contoso to minimize guest users.
* All customers must have their own resource group, Azure SQL server, and Azure SQL database. The
deployment of resources for each customer must be done in a consistent fashion.
* Users must be able to review the queries issued against the PaaS databases and identify any new objects
created.
* Downtime during the PostgreSQL database migration must be minimized.
Monitoring Requirements
Contoso identifies the following monitoring requirements:
* Notify administrators when a PaaS database has a higher than average CPU usage.
* Use a single dashboard to review security and audit data for all the PaaS databases.
* Use a single dashboard to monitor query performance and bottlenecks across all the PaaS databases.
* Monitor the PaaS databases to identify poorly performing queries and resolve query performance issues
automatically whenever possible.
PaaS Prototype
During prototyping of the PaaS solution in Azure, you record the compute utilization of a customer's Azure SQL
database as shown in the following exhibit.
Role Assignments
For each customer's Azure SQL Database server, you plan to assign the roles shown in the following exhibit.
NEW QUESTION 21
You have a new Azure SQL database named DB1 on an Azure SQL server named AzSQL1.
The only user who was created is the server administrator.
You need to create a contained database user in DB1 who will use Azure Active Directory (Azure AD) for authentication.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation:
1 - Set up the Active Directory Admin for AzSQL1.
2 - Connect to DB1 by using the server administrator.
3 - Create a user by using the FROM EXTERNAL PROVIDER clause.
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-user-transact-sql
NEW QUESTION 22
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have an Azure Data Lake Storage account that contains a staging zone.
You need to design a daily process to ingest incremental data from the staging zone, transform the data by executing an R script, and then insert the transformed data into a data warehouse in Azure Synapse Analytics.
Solution: You use an Azure Data Factory schedule trigger to execute a pipeline that copies the data to a staging table in the data warehouse, and then uses a stored procedure to execute the R script.
Does this meet the goal?
- A. Yes
- B. No
Answer: A
Explanation:
Section: [none]
Explanation:
If you need to transform data in a way that is not supported by Data Factory, you can create a custom activity with your own data processing logic and use the activity in the pipeline. You can create a custom activity to run R scripts on your HDInsight cluster with R installed.
Reference:
https://docs.microsoft.com/en-US/azure/data-factory/transform-data
Testlet 1
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam.
You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
Litware, Inc. is a renewable energy company that has a main office in Boston. The main office hosts a sales department and the primary datacenter for the company.
Physical Locations
Litware has a manufacturing office and a research office is separate locations near Boston. Each office has its own datacenter and internet connection.
Existing Environment
Network Environment
The manufacturing and research datacenters connect to the primary datacenter by using a VPN.
The primary datacenter has an ExpressRoute connection that uses both Microsoft peering and private peering.
The private peering connects to an Azure virtual network named HubVNet.
Identity Environment
Litware has a hybrid Azure Active Directory (Azure AD) deployment that uses a domain named litwareinc.com.
All Azure subscriptions are associated to the litwareinc.com Azure AD tenant.
Database Environment
The sales department has the following database workload:
* An on-premises named SERVER1 hosts an instance of Microsoft SQL Server 2012 and two 1-TB databases.
* A logical server named SalesSrv01A contains a geo-replicated Azure SQL database named SalesSQLDb1.
SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool. SalesSQLDb1 uses database firewall rules and contained database users.
* An application named SalesSQLDb1App1 uses SalesSQLDb1.
The manufacturing office contains two on-premises SQL Server 2016 servers named SERVER2 and SERVER3. The servers are nodes in the same Always On availability group. The availability group contains a database named ManufacturingSQLDb1 Database administrators have two Azure virtual machines in HubVnet named VM1 and VM2 that run Windows Server 2019 and are used to manage all the Azure databases.
Licensing Agreement
Litware is a Microsoft Volume Licensing customer that has License Mobility through Software Assurance.
Current Problems
SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking queries.
Requirements
Planned Changes
Litware plans to implement the following changes:
* Implement 30 new databases in Azure, which will be used by time-sensitive manufacturing apps that have varying usage patterns. Each database will be approximately 20 GB.
* Create a new Azure SQL database named ResearchDB1 on a logical server named ResearchSrv01.
ResearchDB1 will contain Personally Identifiable Information (PII) data.
* Develop an app named ResearchApp1 that will be used by the research department to populate and access ResearchDB1.
* Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
* Migrate the SERVER1 databases to the Azure SQL Database platform.
Technical Requirements
Litware identifies the following technical requirements:
* Maintenance tasks must be automated.
* The 30 new databases must scale automatically.
* The use of an on-premises infrastructure must be minimized.
* Azure Hybrid Use Benefits must be leveraged for Azure SQL Database deployments.
* All SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.
Security and Compliance Requirements
Litware identifies the following security and compliance requirements:
* Store encryption keys in Azure Key Vault.
* Retain backups of the PII data for two months.
* Encrypt the PII data at rest, in transit, and in use.
* Use the principle of least privilege whenever possible.
* Authenticate database users by using Active Directory credentials.
* Protect Azure SQL Database instances by using database-level firewall rules.
* Ensure that all databases hosted in Azure are accessible from VM1 and VM2 without relying on public endpoints.
Business Requirements
Litware identifies the following business requirements:
* Meet an SLA of 99.99% availability for all Azure deployments.
* Minimize downtime during the migration of the SERVER1 databases.
* Use the Azure Hybrid Use Benefits when migrating workloads to Azure.
* Once all requirements are met, minimize costs whenever possible.
NEW QUESTION 23
You have an Azure SQL database named db1.
You need to retrieve the resource usage of db1 from the last week.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/system-catalog-views/sys-resource-stats-azure-sql-database
NEW QUESTION 24
HOTSPOT
You have SQL Server on an Azure virtual machine that contains a database named Db1.
You need to enable automatic tuning for Db1.
How should you complete the statements? To answer, select the appropriate answer in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer:
Explanation:
Section: [none]
Explanation:
Box 1: SET AUTOMATIC_TUNING = AUTO
To enable automatic tuning on a single database via T-SQL, connect to the database and execute the following query:
ALTER DATABASE current SET AUTOMATIC_TUNING = AUTO
Setting automatic tuning to AUTO will apply Azure Defaults.
Box 2: SET AUTOMATIC_TUNING (FORCE_LAST_GOOD_PLAN = ON)
To configure individual automatic tuning options via T-SQL, connect to the database and execute the query such as this one:
ALTER DATABASE current SET AUTOMATIC_TUNING (FORCE_LAST_GOOD_PLAN = ON) Setting the individual tuning option to ON will override any setting that database inherited and enable the tuning option. Setting it to OFF will also override any setting that database inherited and disable the tuning option.
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/automatic-tuning-enable
NEW QUESTION 25
You have an Azure Synapse Analytics dedicated SQL pool named Pool1 and a database named DB1. DB1 contains a fact table named Table.
You need to identify the extent of the data skew in Table1.
What should you do in Synapse Studio?
- A. Connect to the built-in pool and run DBCC CHECKALLOC.
- B. Connect to Pool1 and query sys.dm_pdw_nodes_db_partition_stats.
- C. Connect to Pool1 and run DBCC CHECKALLOC.
- D. Connect to the built-in pool and query sys.dm_pdw_nodes_db_partition_stats.
Answer: D
Explanation:
Section: [none]
Explanation:
Use sys.dm_pdw_nodes_db_partition_stats to analyze any skewness in the data.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql-data-warehouse/cheat-sheet
NEW QUESTION 26
You have an Azure SQL managed instance named SQLMI1 that hosts 10 databases.
You need to implement alerts by using Azure Monitor. The solution must meet the following requirements:
Minimize costs.
Aggregate Intelligent Insights telemetry from each database.
What should you do?
- A. From the Diagnostic settings of SQLMI1. select Send to Log Analytics.
- B. From the Diagnostic settings of each database, select Stream to an event hub.
- C. From the Diagnostic settings of SQLMI1. select Stream to an event hub.
- D. From the Diagnostic settings of each database, select Send to Log Analytics.
Answer: D
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/azure-sql/database/metrics-diagnostic-telemetry-logging-streaming-export-configure?tabs=azure-portal#configure-the-streaming-export-of-diagnostic-telemetry
NEW QUESTION 27
You are creating a new notebook in Azure Databricks that will support R as the primary language but will also support Scala and SQL.
Which switch should you use to switch between languages?
- A. @<language>
- B. \\[<language>]
- C. \\[<language>]
- D. %<language>
Answer: D
Explanation:
Section: [none]
Explanation:
You can override the default language by specifying the language magic command %<language> at the beginning of a cell. The supported magic commands are: %python, %r, %scala, and %sql.
Reference:
https://docs.microsoft.com/en-us/azure/databricks/notebooks/notebooks-use
NEW QUESTION 28
HOTSPOT
You have an Azure SQL database named db1.
You need to retrieve the resource usage of db1 from the last week.
How should you complete the statement? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer:
Explanation:
Explanation:
Box 1: sys.resource_stats
sys.resource_stats returns CPU usage and storage data for an Azure SQL Database. It has database_name and start_time columns.
Box 2: DateAdd
The following example returns all databases that are averaging at least 80% of compute utilization over the last one week.
DECLARE @s datetime;
DECLARE @e datetime;
SET @s= DateAdd(d,-7,GetUTCDate());
SET @e= GETUTCDATE();
SELECT database_name, AVG(avg_cpu_percent) AS Average_Compute_Utilization FROM sys.resource_stats WHERE start_time BETWEEN @s AND @e GROUP BY database_name HAVING AVG(avg_cpu_percent) >= 80 Incorrect Answers:
sys.dm_exec_requests:
sys.dm_exec_requests returns information about each request that is executing in SQL Server. It does not have a column named database_name.
sys.dm_db_resource_stats:
sys.dm_db_resource_stats does not have any start_time column.
Note: sys.dm_db_resource_stats returns CPU, I/O, and memory consumption for an Azure SQL Database database. One row exists for every 15 seconds, even if there is no activity in the database. Historical data is maintained for approximately one hour.
Sys.dm_user_db_resource_governance returns actual configuration and capacity settings used by resource governance mechanisms in the current database or elastic pool. It does not have any start_time column.
Reference:
https://docs.microsoft.com/en-us/sql/relational-databases/system-catalog-views/sys-resource-stats-azure-sql- database Optimize Query Performance Testlet 1 This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam. You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Existing Environment
Network Environment
The manufacturing and research datacenters connect to the primary datacenter by using a VPN.
The primary datacenter has an ExpressRoute connection that uses both Microsoft peering and private peering.
The private peering connects to an Azure virtual network named HubVNet.
Identity Environment
Litware has a hybrid Azure Active Directory (Azure AD) deployment that uses a domain named litwareinc.com.
All Azure subscriptions are associated to the litwareinc.com Azure AD tenant.
Database Environment
The sales department has the following database workload:
* An on-premises named SERVER1 hosts an instance of Microsoft SQL Server 2012 and two 1-TB databases.
* A logical server named SalesSrv01A contains a geo-replicated Azure SQL database named SalesSQLDb1.
SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool. SalesSQLDb1 uses database firewall rules and contained database users.
* An application named SalesSQLDb1App1 uses SalesSQLDb1.
The manufacturing office contains two on-premises SQL Server 2016 servers named SERVER2 and SERVER3. The servers are nodes in the same Always On availability group. The availability group contains a database named ManufacturingSQLDb1 Database administrators have two Azure virtual machines in HubVnet named VM1 and VM2 that run Windows Server 2019 and are used to manage all the Azure databases.
Licensing Agreement
Litware is a Microsoft Volume Licensing customer that has License Mobility through Software Assurance.
Current Problems
SalesSQLDb1 experiences performance issues that are likely due to out-of-date statistics and frequent blocking queries.
Requirements
Planned Changes
Litware plans to implement the following changes:
* Implement 30 new databases in Azure, which will be used by time-sensitive manufacturing apps that have varying usage patterns. Each database will be approximately 20 GB.
* Create a new Azure SQL database named ResearchDB1 on a logical server named ResearchSrv01.
ResearchDB1 will contain Personally Identifiable Information (PII) data.
* Develop an app named ResearchApp1 that will be used by the research department to populate and access ResearchDB1.
* Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
* Migrate the SERVER1 databases to the Azure SQL Database platform.
Technical Requirements
Litware identifies the following technical requirements:
* Maintenance tasks must be automated.
* The 30 new databases must scale automatically.
* The use of an on-premises infrastructure must be minimized.
* Azure Hybrid Use Benefits must be leveraged for Azure SQL Database deployments.
* All SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.
Security and Compliance Requirements
Litware identifies the following security and compliance requirements:
* Store encryption keys in Azure Key Vault.
* Retain backups of the PII data for two months.
* Encrypt the PII data at rest, in transit, and in use.
* Use the principle of least privilege whenever possible.
* Authenticate database users by using Active Directory credentials.
* Protect Azure SQL Database instances by using database-level firewall rules.
* Ensure that all databases hosted in Azure are accessible from VM1 and VM2 without relying on public endpoints.
Business Requirements
Litware identifies the following business requirements:
* Meet an SLA of 99.99% availability for all Azure deployments.
* Minimize downtime during the migration of the SERVER1 databases.
* Use the Azure Hybrid Use Benefits when migrating workloads to Azure.
* Once all requirements are met, minimize costs whenever possible.
NEW QUESTION 29
Note: This question is part of a series of questions that present the same scenario. Each question in the series contains a unique solution that might meet the stated goals. Some question sets might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You have two Azure SQL Database servers named Server1 and Server2. Each server contains an Azure SQL database named Database1.
You need to restore Database1 from Server1 to Server2. The solution must replace the existing Database1 on Server2.
Solution: From the Azure portal, you delete Database1 from Server2, and then you create a new database on Server2 by using the backup of Database1 from Server1.
Does this meet the goal?
- A. Yes
- B. No
Answer: B
Explanation:
Instead restore Database1 from Server1 to the Server2 by using the RESTORE Transact-SQL command and the REPLACE option.
Note: REPLACE should be used rarely and only after careful consideration. Restore normally prevents accidentally overwriting a database with a different database. If the database specified in a RESTORE statement already exists on the current server and the specified database family GUID differs from the database family GUID recorded in the backup set, the database is not restored. This is an important safeguard.
Reference:
https://docs.microsoft.com/en-us/sql/t-sql/statements/restore-statements-transact-sql
NEW QUESTION 30
You have SQL Server on Azure virtual machines in an availability group.
You have a database named DB1 that is NOT in the availability group.
You create a full database backup of DB1.
You need to add DB1 to the availability group.
Which restore option should you use on the secondary replica?
- A. Restore with Recovery
- B. Restore with Norecovery
- C. Restore with Standby
Answer: B
Explanation:
Section: [none]
Explanation:
Prepare a secondary database for an Always On availability group requires two steps:
1. Restore a recent database backup of the primary database and subsequent log backups onto each server
instance that hosts the secondary replica, using RESTORE WITH NORECOVERY
2. Join the restored database to the availability group.
Reference:
https://docs.microsoft.com/en-us/sql/database-engine/availability-groups/windows/manually-prepare-a-
secondary-database-for-an-availability-group-sql-server
NEW QUESTION 31
HOTSPOT
You are performing exploratory analysis of bus fare data in an Azure Data Lake Storage Gen2 account by using an Azure Synapse Analytics serverless SQL pool.
You execute the Transact-SQL query shown in the following exhibit.
Use the drop-down menus to select the answer choice that completes each statement based on the information presented in the graphic.
Hot Area:
Answer:
Explanation:
Section: [none]
Explanation:
Box 1: CSV files that have file named beginning with "tripdata_2020"
Box 2: a header
FIRSTROW = 'first_row'
Specifies the number of the first row to load. The default is 1 and indicates the first row in the specified data file.
The row numbers are determined by counting the row terminators. FIRSTROW is 1-based.
Reference:
https://docs.microsoft.com/en-us/azure/synapse-analytics/sql/develop-openrowset
NEW QUESTION 32
You have a version-8.0 Azure Database for MySQL database.
You need to identify which database queries consume the most resources.
Which tool should you use?
- A. Query Store
- B. Metrics
- C. Alerts
- D. Query Performance Insight
Answer: A
Explanation:
The Query Store feature in Azure Database for MySQL provides a way to track query performance over time.
Query Store simplifies performance troubleshooting by helping you quickly find the longest running and most resource-intensive queries. Query Store automatically captures a history of queries and runtime statistics, and it retains them for your review. It separates data by time windows so that you can see database usage patterns. Data for all users, databases, and queries is stored in the mysql schema database in the Azure Database for MySQL instance.
Reference:
https://docs.microsoft.com/en-us/azure/mysql/concepts-query-store
NEW QUESTION 33
HOTSPOT
You need to implement the monitoring of SalesSQLDb1. The solution must meet the technical requirements.
How should you collect and stream metrics? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Hot Area:
Answer:
Explanation:
Section: [none]
Explanation:
Box 1: The server, the elastic pool, and the database
Senario:
SalesSQLDb1 is in an elastic pool named SalesSQLDb1Pool.
Litware technical requirements include: all SQL Server and Azure SQL Database metrics related to CPU and storage usage and limits must be analyzed by using Azure built-in functionality.
Box 2: Azure Event hubs
Scenario: Migrate ManufacturingSQLDb1 to the Azure virtual machine platform.
Event hubs are able to handle custom metrics.
Incorrect Answers:
Azure Log Analytics
Azure metric and log data are sent to Azure Monitor Logs, previously known as Azure Log Analytics, directly by Azure. Azure SQL Analytics is a cloud only monitoring solution supporting streaming of diagnostics telemetry for all of your Azure SQL databases.
However, because Azure SQL Analytics does not use agents to connect to Azure Monitor, it does not support monitoring of SQL Server hosted on-premises or in virtual machines.
Testlet 2
Case study
This is a case study. Case studies are not timed separately. You can use as much exam time as you would like to complete each case. However, there may be additional case studies and sections on this exam.
You must manage your time to ensure that you are able to complete all questions included on this exam in the time provided.
To answer the questions included in a case study, you will need to reference information that is provided in the case study. Case studies might contain exhibits and other resources that provide more information about the scenario that is described in the case study. Each question is independent of the other questions in this case study.
At the end of this case study, a review screen will appear. This screen allows you to review your answers and to make changes before you move to the next section of the exam. After you begin a new section, you cannot return to this section.
To start the case study
To display the first question in this case study, click the Next button. Use the buttons in the left pane to explore the content of the case study before you answer the questions. Clicking these buttons displays information such as business requirements, existing environment, and problem statements. If the case study has an All Information tab, note that the information displayed is identical to the information displayed on the subsequent tabs. When you are ready to answer a question, click the Question button to return to the question.
Overview
General Overview
Contoso, Ltd. is a financial data company that has 100 employees. The company delivers financial data to customers.
Physical Locations
Contoso has a datacenter in Los Angeles and an Azure subscription. All Azure resources are in the US West 2 Azure region. Contoso has a 10-Gb ExpressRoute connection to Azure.
The company has customers worldwide.
Existing Environment
Active Directory
Contoso has a hybrid Azure Active Directory (Azure AD) deployment that syncs to on-premises Active Directory.
Database Environment
Contoso has SQL Server 2017 on Azure virtual machines shown in the following table.
SQL1 and SQL2 are in an Always On availability group and are actively queried. SQL3 runs jobs, provides historical data, and handles the delivery of data to customers.
The on-premises datacenter contains a PostgreSQL server that has a 50-TB database.
Current Business Model
Contoso uses Microsoft SQL Server Integration Services (SSIS) to create flat files for customers. The customers receive the files by using FTP.
Requirements
Planned Changes
Contoso plans to move to a model in which they deliver data to customer databases that run as platform as a service (PaaS) offerings. When a customer establishes a service agreement with Contoso, a separate resource group that contains an Azure SQL database will be provisioned for the customer. The database will have a complete copy of the financial data. The data to which each customer will have access will depend on the service agreement tier. The customers can change tiers by changing their service agreement.
The estimated size of each PaaS database is 1 TB.
Contoso plans to implement the following changes:
* Move the PostgreSQL database to Azure Database for PostgreSQL during the next six months.
* Upgrade SQL1, SQL2, and SQL3 to SQL Server 2019 during the next few months.
* Start onboarding customers to the new PaaS solution within six months.
Business Goals
Contoso identifies the following business requirements:
* Use built-in Azure features whenever possible.
* Minimize development effort whenever possible.
* Minimize the compute costs of the PaaS solutions.
* Provide all the customers with their own copy of the database by using the PaaS solution.
* Provide the customers with different table and row access based on the customer's service agreement.
* In the event of an Azure regional outage, ensure that the customers can access the PaaS solution with minimal downtime. The solution must provide automatic failover.
* Ensure that users of the PaaS solution can create their own database objects but be prevented from modifying any of the existing database objects supplied by Contoso.
Technical Requirements
Contoso identifies the following technical requirements:
* Users of the PaaS solution must be able to sign in by using their own corporate Azure AD credentials or have Azure AD credentials supplied to them by Contoso. The solution must avoid using the internal Azure AD of Contoso to minimize guest users.
* All customers must have their own resource group, Azure SQL server, and Azure SQL database. The deployment of resources for each customer must be done in a consistent fashion.
* Users must be able to review the queries issued against the PaaS databases and identify any new objects created.
* Downtime during the PostgreSQL database migration must be minimized.
Monitoring Requirements
Contoso identifies the following monitoring requirements:
* Notify administrators when a PaaS database has a higher than average CPU usage.
* Use a single dashboard to review security and audit data for all the PaaS databases.
* Use a single dashboard to monitor query performance and bottlenecks across all the PaaS databases.
* Monitor the PaaS databases to identify poorly performing queries and resolve query performance issues automatically whenever possible.
PaaS Prototype
During prototyping of the PaaS solution in Azure, you record the compute utilization of a customer's Azure SQL database as shown in the following exhibit.
Role Assignments
For each customer's Azure SQL Database server, you plan to assign the roles shown in the following exhibit.
NEW QUESTION 34
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