最新のCDP-3002問題集で試験を準備する

Cloudera CDP-3002 試験概要:

Cloudera CDP-3002 試験シラバストピック:

Cloudera CDP Data Engineer - Certification 認定 CDP-3002 試験問題：

1. You need to design your Airflow DAG for data quality checks to be easily monitored and visualized. How can you achieve this?

A) Utilize Airflow XCom to share the outcome of the checks (success/failurE. with downstream tasks for further processing.
B) All of the above
C) Leverage Airflow's built-in metrics and monitoring features like the Airflow web UI to track check execution and results.
D) Implement custom logic to send detailed logs about the check results to external monitoring tools.

2. How can you utilize Spark's lineage tracking feature to improve the efficiency of your data pipelines?

A) Manually track the lineage of each transformation for debugging purposes
B) Use lineage tracking to optimize the order of transformations for better performance
C) Leverage lineage information to identify and recompute only the affected data after failures
D) Spark's lineage tracking doesn't offer any performance benefits

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

4. Consider the following code snippet:# Sample DataFrame (assuming it exists) df = spark.createDataFrame(...)
# Attempt to explode a nested array column (fix the error)
df_exploded = df.withColumn("items", F.explode(df["items"]))
df_exploded.show()
What is the error in this code, and how can it be fixed?

A) There is no error in the code snippet.
B) The error is using withColumn instead of a dedicated method for exploding arrays. Fix: Use df.withColumnExploded. (This function doesn't exist in Spark)
C) The error is attempting to modify the original DataFrame in-place. Fix: Use a separate variable to store the exploded DataFrame.
D) The error is missing parentheses around the column name in the explode function. Fix: F.explode(df("items"))

5. In Hive, what impact does setting the hive.exec.dynamic.partition.mode to nonstrict have on dynamic partitioning operations?

A) It restricts the insertion of data to existing partitions only.
B) It disables dynamic partitioning, requiring all partitions to be predefined.
C) It allows the creation of new partitions dynamically based on the input data values.
D) It enforces that at least one static partition be specified in the query.

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