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Cloudera CDP Data Engineer - Certification Sample Questions:

1. You're given a DataFrame containing information about flights, including columns "origin", "destination", and "delay_minutes". How can you find the top 5 origin airports with the most delayed flights on average?

A) Implement a custom function to calculate average delays for each origin and then sort and filter
B) Use groupBy and avg on "delay_minutes", then sort by the average in descending order and limit to top 5
C) Use Spark's machine learning library (MLIiB. for ranking and classification
D) Leverage Spark SQL's RANK function along with windowing to identify top 5 origins

2. What is the correct way to define a start date for a DAG in Apache Airflow, ensuring that the DAG does not trigger immediately upon deployment?

A) Use datetime.now() as the start date.
B) Set the start date to a future date using the datetime module.
C) Use ) to automatically set the start date to one day before the current date.
D) Leave the start date undefined.

3. What command and parameters should be used to update an existing Spark job in the Cloudera Data Engineering (CDE. service to increase its executor memory using the CDE CLI?

A) cde job config -name my-spark-job -set spark.executor.memory=6g
B) cde spark submit -update -name my-spark-job -executor-memory 6G
C) cde job run -edit my-spark-job -conf spark.executor.memory=6g
D) cde job update -name my-spark-job --conf spark.executor.memory=6g

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

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

5. Which of the following statements best describes the process of schema inference in the context of big data processing?

A) Encrypting data based on its type.
B) Manually defining the schema for each dataset before processing.
C) Automatically determining the data structure of a dataset.
D) Assigning random data types to columns in unstructured data.

Solutions: