Databricks Certified Associate Developer for Apache Spark 3.0 : Associate-Developer-Apache-Spark

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Databricks Associate-Developer-Apache-Spark 考試大綱主題:

最新的 Databricks Certification Associate-Developer-Apache-Spark 免費考試真題：

1. The code block displayed below contains an error. The code block should return a copy of DataFrame transactionsDf where the name of column transactionId has been changed to transactionNumber. Find the error.
Code block:
transactionsDf.withColumn("transactionNumber", "transactionId")

A) The method withColumn should be replaced by method withColumnRenamed and the arguments to the method need to be reordered.
B) The copy() operator should be appended to the code block to ensure a copy is returned.
C) The arguments to the withColumn method need to be reordered.
D) The arguments to the withColumn method need to be reordered and the copy() operator should be appended to the code block to ensure a copy is returned.
E) Each column name needs to be wrapped in the col() method and method withColumn should be replaced by method withColumnRenamed.

2. Which of the following describes the difference between client and cluster execution modes?

A) In cluster mode, the driver runs on the master node, while in client mode, the driver runs on a virtual machine in the cloud.
B) In cluster mode, the driver runs on the edge node, while the client mode runs the driver in a worker node.
C) In cluster mode, the driver runs on the worker nodes, while the client mode runs the driver on the client machine.
D) In client mode, the cluster manager runs on the same host as the driver, while in cluster mode, the cluster manager runs on a separate node.
E) In cluster mode, each node will launch its own executor, while in client mode, executors will exclusively run on the client machine.

3. Which of the following is not a feature of Adaptive Query Execution?

A) Collect runtime statistics during query execution.
B) Coalesce partitions to accelerate data processing.
C) Replace a sort merge join with a broadcast join, where appropriate.
D) Reroute a query in case of an executor failure.
E) Split skewed partitions into smaller partitions to avoid differences in partition processing time.

4. The code block displayed below contains an error. When the code block below has executed, it should have divided DataFrame transactionsDf into 14 parts, based on columns storeId and transactionDate (in this order). Find the error.
Code block:
transactionsDf.coalesce(14, ("storeId", "transactionDate"))

A) The parentheses around the column names need to be removed and .select() needs to be appended to the code block.
B) Operator coalesce needs to be replaced by repartition, the parentheses around the column names need to be removed, and .count() needs to be appended to the code block.
(Correct)
C) Operator coalesce needs to be replaced by repartition, the parentheses around the column names need to be removed, and .select() needs to be appended to the code block.
D) Operator coalesce needs to be replaced by repartition and the parentheses around the column names need to be replaced by square brackets.
E) Operator coalesce needs to be replaced by repartition.

5. Which of the following is a problem with using accumulators?

A) Accumulator values can only be read by the driver, but not by executors.
B) Only numeric values can be used in accumulators.
C) Accumulators do not obey lazy evaluation.
D) Only unnamed accumulators can be inspected in the Spark UI.
E) Accumulators are difficult to use for debugging because they will only be updated once, independent if a task has to be re-run due to hardware failure.

問題與答案：