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

1. Which of the following describes characteristics of the Spark driver?

A) The Spark driver requests the transformation of operations into DAG computations from the worker nodes.
B) If set in the Spark configuration, Spark scales the Spark driver horizontally to improve parallel processing performance.
C) The Spark driver processes partitions in an optimized, distributed fashion.
D) In a non-interactive Spark application, the Spark driver automatically creates the SparkSession object.
E) The Spark driver's responsibility includes scheduling queries for execution on worker nodes.

2. The code block displayed below contains an error. The code block is intended to join DataFrame itemsDf with the larger DataFrame transactionsDf on column itemId. Find the error.
Code block:
transactionsDf.join(itemsDf, "itemId", how="broadcast")

A) Spark will only perform the broadcast operation if this behavior has been enabled on the Spark cluster.
B) The larger DataFrame transactionsDf is being broadcasted, rather than the smaller DataFrame itemsDf.
C) The syntax is wrong, how= should be removed from the code block.
D) The join method should be replaced by the broadcast method.
E) broadcast is not a valid join type.

3. Which of the following statements about RDDs is incorrect?

A) The high-level DataFrame API is built on top of the low-level RDD API.
B) RDD stands for Resilient Distributed Dataset.
C) RDDs are immutable.
D) RDDs are great for precisely instructing Spark on how to do a query.
E) An RDD consists of a single partition.

4. Which of the following code blocks generally causes a great amount of network traffic?

A) DataFrame.count()
B) DataFrame.coalesce()
C) DataFrame.rdd.map()
D) DataFrame.select()
E) DataFrame.collect()

5. The code block displayed below contains an error. The code block should return all rows of DataFrame transactionsDf, but including only columns storeId and predError. Find the error.
Code block:
spark.collect(transactionsDf.select("storeId", "predError"))

A) Instead of collect, collectAsRows needs to be called.
B) Instead of select, DataFrame transactionsDf needs to be filtered using the filter operator.
C) Columns storeId and predError need to be represented as a Python list, so they need to be wrapped in brackets ([]).
D) The take method should be used instead of the collect method.
E) The collect method is not a method of the SparkSession object.

問題與答案：