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Cloudera CDP Data Engineer - Certification Sample Questions:

1. When creating a partitioned table in Hive, what does the clause PARTITIONED BY specify?

A) The default file format for data storage
B) The replication factor for the HDFS data blocks
C) The compression algorithm used for data storage
D) The column(s) used to divide the table into partitions

2. Which feature of Apache Avro facilitates dynamic schema inference during data serialization and deserialization?

A) Manual schema declaration
B) Schema versioning via external services
C) Strong data typing
D) Embedded schema within data files

3. How does dynamic schema inference impact the processing of streaming data in real-time analytics platforms?

A) It requires streaming data to be stored before its schema can be inferred.
B) It decreases the overall throughput of the analytics platform.
C) It enables the platform to adapt to changes in data format without downtime.
D) It significantly increases the latency of data processing operations.

4. For a Hive table that is both partitioned and bucketed, what considerations must be taken into account to optimize a join query involving this table?

A) Bucketing considerations are irrelevant in the context of join queries, with partitioning being the sole factor impacting performance.
B) The join should exclusively rely on the partitioned columns, ignoring the bucketed columns for optimal performance.
C) Both the partitioning and bucketing columns should align with the join columns where possible to maximize the efficiency of data retrieval.
D) Ensuring the join columns are neither partitioned nor bucketed as it may lead to increased complexity.

5. You're deploying your Airflow ETL pipelines to a production environment. What are some best practices to ensure reliability and scalability?

A) Implement robust error handling and retry mechanisms within your DAGs.
B) Configure Airflow to run with high resource limits to handle unexpected spikes in workload.
C) All of the above
D) Utilize version control for your DAG code and configuration files to track changes and facilitate rollbacks.

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