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

1. Which of the following statements about DAGs is correct?

A) In contrast to transformations, DAGs are never lazily executed.
B) DAG stands for "Directing Acyclic Graph".
C) DAGs help direct how Spark executors process tasks, but are a limitation to the proper execution of a query when an executor fails.
D) Spark strategically hides DAGs from developers, since the high degree of automation in Spark means that developers never need to consider DAG layouts.
E) DAGs can be decomposed into tasks that are executed in parallel.

2. Which of the following code blocks returns the number of unique values in column storeId of DataFrame transactionsDf?

A) transactionsDf.select(count("storeId")).dropDuplicates()
B) transactionsDf.select(distinct("storeId")).count()
C) transactionsDf.select("storeId").dropDuplicates().count()
D) transactionsDf.distinct().select("storeId").count()
E) transactionsDf.dropDuplicates().agg(count("storeId"))

3. The code block displayed below contains an error. The code block should configure Spark so that DataFrames up to a size of 20 MB will be broadcast to all worker nodes when performing a join.
Find the error.
Code block:

A) The passed limit has the wrong variable type.
B) Spark will only broadcast DataFrames that are much smaller than the default value.
C) Spark will only apply the limit to threshold joins and not to other joins.
D) The correct option to write configurations is through spark.config and not spark.conf.
E) spark.conf.set("spark.sql.autoBroadcastJoinThreshold", 20)
F) The command is evaluated lazily and needs to be followed by an action.

4. Which of the following code blocks returns a single-row DataFrame that only has a column corr which shows the Pearson correlation coefficient between columns predError and value in DataFrame transactionsDf?

A) transactionsDf.select(corr(col("predError"), col("value")).alias("corr")).first()
B) transactionsDf.select(corr(["predError", "value"]).alias("corr")).first()
C) transactionsDf.select(corr("predError", "value"))
D) transactionsDf.select(corr(col("predError"), col("value")).alias("corr")) (Correct)
E) transactionsDf.select(corr(predError, value).alias("corr"))

5. The code block displayed below contains an error. The code block should configure Spark to split data in 20 parts when exchanging data between executors for joins or aggregations. Find the error.
Code block:
spark.conf.set(spark.sql.shuffle.partitions, 20)

A) The code block expresses the option incorrectly.
B) The code block uses the wrong command for setting an option.
C) The code block sets the wrong option.
D) The code block sets the incorrect number of parts.
E) The code block is missing a parameter.

問題與答案：