CDP-3002 試験問題を無料オンラインアクセス

You need to design a DAG that can be easily scaled horizontally to handle increasing workload. How can you achieve this goal?

• A.Leverage Airflow pools to manage resource allocation and limit concurrent task execution.
• B.Implement custom logic within each task to handle parallel processing independently.
• C.Utilize external scheduling tools like Cron to manage DAG execution independently of Airflow workers.
• D.Increase the number of worker processes in the Airflow web server configuration.

In Apache Airflow, how can you dynamically generate tasks for each table in your database that needs a quality check?

• A.Utilize the Dynamic Task Mapping feature to create a task for each table.
• B.Use the SubDagOperator to create a sub-DAG for each table.
• C.Implement a BranchPythonOperator to create branches for each table dynamically.
• D.Use the Variable feature to store a list of tables and iterate over them with a PythonOperator.

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

You're provisioning a new Cloudera Data Engineering (CDE. virtual cluster. Which of the following factors should you consider when choosing an appropriate instance type for Iceberg workloads? (Choose two)

• A.The expected size of your Iceberg tables
• B.The complexity of your SQL queries and transformations
• C.The network bandwidth required by your Iceberg jobs
• D.Whether you require GPU acceleration for machine learning tasks integrated with Iceberg
• E.The type of storage (SSD vs. HDD. needed for optimal performance

Which of the following is TRUE about using Explain Plans for performance tuning?

• A.They provide detailed network latency information
• B.They can help identify operations that may become performance bottlenecks
• C.Explain Plans always show the actual runtime of a query
• D.They are only useful for queries that involve joins