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DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK Questions and Answers

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Databricks Certified Associate Developer for Apache Spark 3.0: DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK

Rating: 4.9

Vendor: Databricks

Certifications: Databricks Certification

Exam Name: Databricks Certified Associate Developer for Apache Spark 3.0

Exam Code: DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK

Total Questions: 180 Q&As

Last Updated: Jun 25, 2022

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Same Questions from the Latest Real Exam

DATABRICKS-CERTIFIED-ASSOCIATE-DEVELOPER-FOR-APACHE-SPARK Online Practice Questions and Answers

Questions 1

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. spark.DataFrame({"season": ["winter","summer"], "wind_speed_ms": [4.5, 7.5]})

B. spark.createDataFrame([("summer", 4.5), ("winter", 7.5)], ["season", "wind_speed_ms"])

C. 1. from pyspark.sql import types as T

2. spark.createDataFrame((("summer", 4.5), ("winter", 7.5)),

D. StructType([T.StructField("season", T.CharType()), T.StructField("season",

E. DoubleType())]))

F. spark.newDataFrame([("summer", 4.5), ("winter", 7.5)], ["season", "wind_speed_ms"])

G. spark.createDataFrame({"season": ["winter","summer"], "wind_speed_ms": [4.5, 7.5]})

Show Answer
Questions 2

Which of the following code blocks returns a copy of DataFrame transactionsDf where the column storeId has been converted to string type?

A. transactionsDf.withColumn("storeId", convert("storeId", "string"))

B. transactionsDf.withColumn("storeId", col("storeId", "string"))

C. transactionsDf.withColumn("storeId", col("storeId").convert("string"))

D. transactionsDf.withColumn("storeId", col("storeId").cast("string"))

E. transactionsDf.withColumn("storeId", convert("storeId").as("string"))

Show Answer
Questions 3

Which of the following statements about RDDs is incorrect?

A. An RDD consists of a single partition.

B. The high-level DataFrame API is built on top of the low-level RDD API.

C. RDDs are immutable.

D. RDD stands for Resilient Distributed Dataset.

E. RDDs are great for precisely instructing Spark on how to do a query.

Show Answer More Questions

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