Cloudera CDP-3002 Actual Tests : CDP Data Engineer - Certification Exam

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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're working with a large dataset stored in multiple Parquet files across different HDFS directories. How can you efficiently load and process this data using Spark, ensuring data locality and minimizing shuffle operations?

A) Leverage Spark SQL catalogs and partition discovery
B) Directly load all files using spark.read.parquet("/path/to/data/")
C) Implement a custom function to read each Parquet file individually
D) Use spark.read.parquet("/path/to/data/") with recursive directory listing

2. If a Spark Driver pod in Kubernetes is reaching its CPU limit and experiencing performance issues, what is the most appropriate first action?

A) Decrease the memory limits in the pod's YAML configuration.
B) Increase the CPU limits in the pod's YAML configuration.
C) Restart the Kubernetes cluster.
D) Increase the CPU requests in the pod's YAML configuration.

3. Which of the following is NOT a factor considered by the Optimization Framework when optimizing a query?

A) Network latency between nodes
B) User-defined functions (UDFs) complexity
C) Data skewness
D) The phase of the moon

4. Your Spark application on Kubernetes requires a secure connection to a database. You've stored the database password in Kubernetes Secrets. How would you typically access this secret in your PySpark application?

A) By using a ConfigMap
B) Through an external secrets manager
C) By querying the Kubernetes API
D) By reading the secret file from a volume mount

5. Which of the following commands is used to install PySpark in your development environment?

A) pip install pyspark
B) brew install pyspark
C) npm install pyspark
D) yarn add pyspark

Solutions: