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1. Given a DataFrame containing product information with columns "product_id", "name", and "price", how can you filter and sort the DataFrame to only include products with a price greater than $50 and sort them by price in descending order?

A) Implement a custom function to filter and sort the data
B) Leverage chained conditions and sorting within the filter method
C) Use multiple filter and sort calls sequentially
D) Use spark SQL's WHERE clause and ORDER BY statement

2. In Spark, what is the advantage of using the coalesce method over the repartition method when reducing the number of partitions in an RDD?

A) coalesce reduces the number of partitions without a full data shuffle, enhancing performance.
B) repartition is incapable of reducing the number of partitions.
C) coalesce can increase the number of partitions without shuffling.
D) coalesce triggers a full shuffle of the data, improving data distribution.

3. How can you implement a data quality check in Apache Airflow that verifies the row count of a table does not decrease from the previous DAG run?

A) Utilize the PreviousDagRunSensor with a custom Python function for comparison.
B) Implement a custom SqlSensor that checks the row count against a stored value in XComs.
C) Store the row count from the previous run in Airflow Variables and compare it using a Pythonoperator.
D) Use the BranchPythonOperator to branch the workflow based on the row count comparison logic.

4. In a Kubernetes environment, you want to restrict the communication to your Spark application pods to only allow traffic from pods in a specific namespace. Which Kubernetes feature would you use to implement this?

A) StatefulSets
B) Network Policies
C) Service Mesh
D) Deployments

5. How does dynamic schema inference impact the processing of streaming data in real-time analytics platforms?

A) It significantly increases the latency of data processing operations.
B) It requires streaming data to be stored before its schema can be inferred.
C) It enables the platform to adapt to changes in data format without downtime.
D) It decreases the overall throughput of the analytics platform.

問題與答案：