Microsoft Querying Data with Transact-SQL (70-761日本語版) : 70-761日本語 Exam

  • Exam Code: 70-761J
  • Exam Name: Querying Data with Transact-SQL (70-761日本語版)
  • Updated: Jul 31, 2026
  • Q & A: 205 Questions and Answers

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Our 70-761 exam dumps will include those topics:

  • Query data with advanced Transact-SQL components (30-35%)
  • Program databases by using Transact-SQL (25-30%)
  • Manage data with Transact-SQL (40-45%)

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Reference: https://www.microsoft.com/en-us/learning/exam-70-761.aspx

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Microsoft Querying Data with Transact-SQL Exam Certification Details:

Exam Code70-761
Duration120 mins
Number of Questions40-60
Exam NameMicrosoft Certified Solutions Associate (MCSA) - SQL 2016 Database Development
Schedule ExamPearson VUE
Exam Price$165 (USD)
Passing Score700 / 1000
Sample QuestionsMicrosoft Querying Data with Transact-SQL Sample Questions
Books / Training20761: Querying Data with Transact-SQL (three days)

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Microsoft 70-761日本語 Exam Syllabus Topics:

SectionWeightObjectives
Topic 1: Program databases by using Transact-SQL20–25%- Implement programming objects
  • 1. Manage transactions and error scope
  • 2. Use parameters and return values
  • 3. Create and manage views and stored procedures
- Implement functions and error handling
  • 1. Scalar, inline, and multi-statement table-valued functions
  • 2. Control flow elements
  • 3. Error handling with TRY/CATCH, THROW, RAISERROR
Topic 2: Manage data with Transact-SQL40–45%- Query multiple tables by using joins
  • 1. Join conditions and filtering
  • 2. INNER, LEFT, RIGHT, FULL OUTER JOIN
  • 3. Cross joins and self-joins
- Create Transact-SQL SELECT queries
  • 1. Use SELECT, FROM, WHERE, ORDER BY, TOP, OFFSET-FETCH
  • 2. Work with built-in scalar and aggregate functions
  • 3. Handle NULL values and data types
- Modify data
  • 1. INSERT, UPDATE, DELETE, MERGE statements
  • 2. Output inserted/deleted data
  • 3. Handle transactions and concurrency
Topic 3: Query data with advanced Transact-SQL components30–35%- Use set operators and grouping
  • 1. GROUP BY, HAVING, ROLLUP, CUBE, GROUPING SETS
  • 2. PIVOT and UNPIVOT operations
  • 3. UNION, UNION ALL, INTERSECT, EXCEPT
- Use subqueries and table expressions
  • 1. CTEs, derived tables, and views
  • 2. Self-contained and correlated subqueries
  • 3. APPLY operator (CROSS APPLY, OUTER APPLY)
- Query non-relational data
  • 1. Querying JSON data
  • 2. Querying XML data
  • 3. Working with temporal tables

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