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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're deploying your Airflow DAGs to a production environment. What are some key considerations for ensuring security and reliability?

A) Disable task logging to improve DAG execution performance.
B) Schedule DAG runs as frequently as possible to ensure real-time data processing.
C) Configure Airflow to run with high resource limits to handle unexpected spikes in workload.
D) Implement role-based access control (RBAC. to restrict access to sensitive DAGs and resources.

2. You're working with a large dataset containing nested JSON structures. How can you efficiently process this data using Spark, ensuring data integrity and avoiding excessive parsing overhead?

A) Use generic string manipulation functions to extract data from JSON
B) Leverage Spark SQL's built-in JSON support with appropriate schema definition
C) Convert the entire dataset to a single string and process it line by line
D) Implement a custom parser for the specific JSON structure

3. A team is planning to use PySpark to read data from an Apache Cassandra database. Which of the following options correctly demonstrates how to load data from a Cassandra table named in the keyspace 'sales'?

A)

B)

C)

D)

4. What is a potential drawback of improperly configured bucketing in Hive that could negate performance benefits?

A) Automatic conversion of bucketed tables to non-bucketed tables
B) Increased risk of data loss due to bucket corruption
C) Mandatory manual intervention for each query execution
D) Skewed data distribution leading to uneven load across nodes

5. How does partition pruning contribute to query performance in the Cloudera Data Platform?

A) By increasing the number of partitions
B) By encrypting data at rest
C) By removing unnecessary data replication
D) By selecting only relevant partitions for query execution

Solutions: