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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 should display the schema of DataFrame transactionsDf. Find the error.
Code block:
transactionsDf.rdd.printSchema

A) There is no way to print a schema directly in Spark, since the schema can be printed easily through using print(transactionsDf.columns), so that should be used instead.
B) printSchema is only accessible through the spark session, so the code block should be rewritten as spark.printSchema(transactionsDf).
C) printSchema is a not a method of transactionsDf.rdd. Instead, the schema should be printed via transactionsDf.print_schema().
D) printSchema is a method and should be written as printSchema(). It is also not callable through transactionsDf.rdd, but should be called directly from transactionsDf.
(Correct)
E) The code block should be wrapped into a print() operation.

2. The code block shown below should return a DataFrame with all columns of DataFrame transactionsDf, but only maximum 2 rows in which column productId has at least the value 2. Choose the answer that correctly fills the blanks in the code block to accomplish this.
transactionsDf.__1__(__2__).__3__

A) 1. where
2. productId >= 2
3. limit(2)
B) 1. filter
2. col("productId") >= 2
3. limit(2)
C) 1. filter
2. productId > 2
3. max(2)
D) 1. where
2. "productId" > 2
3. max(2)
E) 1. where
2. transactionsDf[productId] >= 2
3. limit(2)

3. Which of the following code blocks creates a new DataFrame with two columns season and wind_speed_ms where column season is of data type string and column wind_speed_ms is of data type double?

A) CharType()), T.StructField("season", T.DoubleType())]))
B) spark.createDataFrame([("summer", 4.5), ("winter", 7.5)], ["season", "wind_speed_ms"])
C) spark.createDataFrame({"season": ["winter","summer"], "wind_speed_ms": [4.5, 7.5]})
D) spark.newDataFrame([("summer", 4.5), ("winter", 7.5)], ["season", "wind_speed_ms"])
E) spark.DataFrame({"season": ["winter","summer"], "wind_speed_ms": [4.5, 7.5]})
F) 1. from pyspark.sql import types as T
2. spark.createDataFrame((("summer", 4.5), ("winter", 7.5)), T.StructType([T.StructField("season",

4. The code block displayed below contains an error. The code block should merge the rows of DataFrames transactionsDfMonday and transactionsDfTuesday into a new DataFrame, matching column names and inserting null values where column names do not appear in both DataFrames. Find the error.
Sample of DataFrame transactionsDfMonday:
1.+-------------+---------+-----+-------+---------+----+
2.|transactionId|predError|value|storeId|productId| f|
3.+-------------+---------+-----+-------+---------+----+
4.| 5| null| null| null| 2|null|
5.| 6| 3| 2| 25| 2|null|
6.+-------------+---------+-----+-------+---------+----+
Sample of DataFrame transactionsDfTuesday:
1.+-------+-------------+---------+-----+
2.|storeId|transactionId|productId|value|
3.+-------+-------------+---------+-----+
4.| 25| 1| 1| 4|
5.| 2| 2| 2| 7|
6.| 3| 4| 2| null|
7.| null| 5| 2| null|
8.+-------+-------------+---------+-----+
Code block:
sc.union([transactionsDfMonday, transactionsDfTuesday])

A) Instead of the Spark context, transactionDfMonday should be called with the join method instead of the union method, making sure to use its default arguments.
B) Instead of the Spark context, transactionDfMonday should be called with the union method.
C) The DataFrames' RDDs need to be passed into the sc.union method instead of the DataFrame variable names.
D) Instead of the Spark context, transactionDfMonday should be called with the unionByName method instead of the union method, making sure to not use its default arguments.
E) Instead of union, the concat method should be used, making sure to not use its default arguments.

5. 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.

問題與答案：