Cloudera CDP-3002 : CDP Data Engineer - Certification Exam

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Cloudera CDP-3002 Exam Syllabus Topics:

Cloudera CDP Data Engineer - Certification Sample Questions:

1. A data engineer needs to query a table stored in Apache Hive using SparkSQL. Which of the following commands correctly retrieves data from a Hive table named 'sales data'?

A)

B)

C)

D)

2. 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 reading the secret file from a volume mount
D) By querying the Kubernetes API

3. You are working with a large dataset consisting of multiple files. How can you efficiently load the data into Spark while considering efficient storage and processing?

A) Use spark.read.textFile("/path/to/directory/") to read all files at once
B) Load each file individually using spark.read.textFile("/path/to/file")
C) Leverage partitioning techniques like spark.read.textFile("/path/to/directory").repartition(n)
D) All of the above

4. You're designing a schema for an Iceberg table that will store time-series sensor dat a. Which of the following considerations is most important for optimal query performance and storage efficiency?

A) Partitioning the data by both sensor ID and timestamp.
B) Pre-aggregating sensor data at hourly intervals before inserting into the Iceberg table.
C) Normalizing sensor data across multiple tables to reduce redundancy.
D) Using nested structs to represent the complex structure of sensor readings.

5. You're debugging a slow-running Spark job writing a large Iceberg table. Which optimization techniques could improve performance? (Choose three.

A) Repartitioning the DataFrame before writing to Iceberg
B) Disabling Spark's adaptive query execution
C) Filtering data as early as possible in the Spark transformation pipeline
D) Using the Z-Order clustering option in Iceberg
E) Converting the DataFrame to RDD for Iceberg writes

Solutions: