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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're designing a scalable and fault-tolerant Spark application for processing large-scale geospatial dat a. What additional considerations should you take into account beyond the general distributed processing principles?

A) Choose a larger virtual machine size for Spark executors
B) Leverage geospatial libraries like GeoSpark for efficient spatial operations
C) Implement custom partitioning strategies based on geospatial coordinates
D) Use a dedicated cluster specifically for geospatial processing tasks

2. You want to select specific columns from a Spark DataFrame and rename them. How can you achieve this in Spark SQL?

A) Implement custom logic to iterate through the DataFrame and create a new one
B) Use Spark SQL's ALTER TABLE statement to modify the table schema
C) Modify the original DataFrame schema directly
D) Use the select() method with column names and aliases within parentheses

3. An Iceberg job fails with an "out of memory" error. Which Spark configuration changes might help? (Choose two)

A) Decrease the size of Spark partitions (spark.sql.shuffle.partitions)
B) Increase driver memory (spark.driver.memory)
C) Increase executor memory (spark.executor.memory)
D) Enable Spark broadcast joins
E) Upgrade to a larger Kubernetes pod size.

4. You are deploying a Spark application in a Kubernetes environment. Your application is designed to process large datasets using Spark's data frame API. You have created a Docker image for your Spark application. Which of the following 'kubectl* commands should you use to deploy your Spark application onto the Kubernetes cluster?

A) *kubectl apply -f spark-app.yamr
B) 'kubectl create deployment my-spark-app --image=my-spark-app-image'
C) 'kubectl expose deployment my-spark-app --type=LoadBalancer -port=808ff
D) *kubectl config set-context -current -namespace=my-spark-app'

5. How can you prevent backfilling for a specific DAG in Apache Airflow?
A Set catchup=False in the DAG's arguments.

A) Define is backfill=False in the DAG definition.
B) Set max active runs=1.
C) Use schedule interval=None.

Solutions: