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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 is intended to return all columns of DataFrame transactionsDf except for columns predError, productId, and value. Find the error.
Excerpt of DataFrame transactionsDf:
transactionsDf.select(~col("predError"), ~col("productId"), ~col("value"))

A) The select operator should be replaced with the deselect operator.
B) The select operator should be replaced by the drop operator.
C) The select operator should be replaced by the drop operator and the arguments to the drop operator should be column names predError, productId and value wrapped in the col operator so they should be expressed like drop(col(predError), col(productId), col(value)).
D) The column names in the select operator should not be strings and wrapped in the col operator, so they should be expressed like select(~col(predError), ~col(productId), ~col(value)).
E) The select operator should be replaced by the drop operator and the arguments to the drop operator should be column names predError, productId and value as strings.
(Correct)

2. The code block shown below should return a DataFrame with columns transactionsId, predError, value, and f from DataFrame transactionsDf. Choose the answer that correctly fills the blanks in the code block to accomplish this.
transactionsDf.__1__(__2__)

A) 1. select
2. col(["transactionId", "predError", "value", "f"])
B) 1. select
2. ["transactionId", "predError", "value", "f"]
C) 1. where
2. col("transactionId"), col("predError"), col("value"), col("f")
D) 1. filter
2. "transactionId", "predError", "value", "f"
E) 1. select
2. "transactionId, predError, value, f"

3. Which of the following describes characteristics of the Dataset API?

A) The Dataset API does not support unstructured data.
B) The Dataset API is available in Scala, but it is not available in Python.
C) In Python, the Dataset API mainly resembles Pandas' DataFrame API.
D) The Dataset API does not provide compile-time type safety.
E) In Python, the Dataset API's schema is constructed via type hints.

4. Which of the following code blocks returns a one-column DataFrame of all values in column supplier of DataFrame itemsDf that do not contain the letter X? In the DataFrame, every value should only be listed once.
Sample of DataFrame itemsDf:
1.+------+--------------------+--------------------+-------------------+
2.|itemId| itemName| attributes| supplier|
3.+------+--------------------+--------------------+-------------------+
4.| 1|Thick Coat for Wa...|[blue, winter, cozy]|Sports Company Inc.|
5.| 2|Elegant Outdoors ...|[red, summer, fre...| YetiX|
6.| 3| Outdoors Backpack|[green, summer, t...|Sports Company Inc.|
7.+------+--------------------+--------------------+-------------------+

A) itemsDf.select(~col('supplier').contains('X')).distinct()
B) itemsDf.filter(col(supplier).not_contains('X')).select(supplier).distinct()
C) itemsDf.filter(!col('supplier').contains('X')).select(col('supplier')).unique()
D) itemsDf.filter(not(col('supplier').contains('X'))).select('supplier').unique()
E) itemsDf.filter(~col('supplier').contains('X')).select('supplier').distinct()

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

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

問題與答案：