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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. Which security feature offered by the Cloudera Data Engineering service allows granular access control to data pipelines and resources?

A) Role-based access control (RBAC.
B) Apache Ranger
C) Kerberos authentication
D) Cloudera Manager Security

2. You need to read data from a Hive table into a Spark DataFrame. Which approach would be the most efficient?

A) Use the spark.read.parquet("/path/to/hive/table") method directly
B) Leverage Spark SQL capabilities with SELECT FROM table_name
C) Use the FROM table_name") method
D) Convert the Hive table to a managed table and then use spark.read.table("table_name")

3. You want to use Spark to perform aggregations on data stored in Hive tables. How can you achieve this efficiently and seamlessly?

A) Leverage Spark SQL's built-in aggregation functions like SUM and COUNT
B) Use HiveQL's aggregation capabilities and then convert the results back to a Spark DataFrame
C) Implement custom UDFs (User-Defined Functions) in Spark for complex aggregations
D) Write custom aggregation logic using Spark functions and loop through the entire DataFrame

4. You need to create a new Hive table from a Spark DataFrame. What are the different approaches you can consider?

A) Convert the DataFrame to a temporary table and then use HiveQL commands to create a permanent table
B) Use the DataFrame.write.saveAsTable("table_name") method with appropriate options
C) Directly write the DataFrame to a directory in HDFS and define a corresponding Hive table schema
D) All of the above

5. In a meeting about Spark applications deployment on Kubernetes, your team discusses strategies for handling node failures. Which Kubernetes feature should be utilized to maintain high availability in case of node failures?
A Horizontal Pod Autoscaler

A) ReplicaSets
B) Resource Quotas
C) Pod Priority

Solutions: