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Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Dumps - Databricks Certified Associate Developer for Apache Spark 3.0 Exam Practice Exam Questions

Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 - Databricks Certified Associate Developer for Apache Spark 3.0 Exam Braindumps

Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 - Databricks Certification Practice Exam

  • Certification Provider:Databricks
  • Exam Code:Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0
  • Exam Name:Databricks Certified Associate Developer for Apache Spark 3.0 Exam Exam
  • Total Questions:180 Questions and Answers
  • Updated on:Oct 30, 2024
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Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 This Week Result

  • 25
    Students Passed

    Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0

  • 86%
    Average Marks

    In Real Exam At Testing Centre

  • 88%
    word from this dump

    Exact Questions as in Real Exam Word by Word

  • 180
    Total Questions

    Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Questions and Answers

Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Question and Answers

Question # 1

Which of the following code blocks returns about 150 randomly selected rows from the 1000-row DataFrame transactionsDf, assuming that any row can appear more than once in the returned

DataFrame?

Options:

A.  

transactionsDf.resample(0.15, False, 3142)

B.  

transactionsDf.sample(0.15, False, 3142)

C.  

transactionsDf.sample(0.15)

D.  

transactionsDf.sample(0.85, 8429)

E.  

transactionsDf.sample(True, 0.15, 8261)

Discussion 0
Question # 2

The code block displayed below contains one or more errors. The code block should load parquet files at location filePath into a DataFrame, only loading those files that have been modified before

2029-03-20 05:44:46. Spark should enforce a schema according to the schema shown below. Find the error.

Schema:

1.root

2. |-- itemId: integer (nullable = true)

3. |-- attributes: array (nullable = true)

4. | |-- element: string (containsNull = true)

5. |-- supplier: string (nullable = true)

Code block:

1.schema = StructType([

2. StructType("itemId", IntegerType(), True),

3. StructType("attributes", ArrayType(StringType(), True), True),

4. StructType("supplier", StringType(), True)

5.])

6.

7.spark.read.options("modifiedBefore", "2029-03-20T05:44:46").schema(schema).load(filePath)

Options:

A.  

The attributes array is specified incorrectly, Spark cannot identify the file format, and the syntax of the call to Spark's DataFrameReader is incorrect.

B.  

Columns in the schema definition use the wrong object type and the syntax of the call to Spark's DataFrameReader is incorrect.

C.  

The data type of the schema is incompatible with the schema() operator and the modification date threshold is specified incorrectly.

D.  

Columns in the schema definition use the wrong object type, the modification date threshold is specified incorrectly, and Spark cannot identify the file format.

E.  

Columns in the schema are unable to handle empty values and the modification date threshold is specified incorrectly.

Discussion 0
Question # 3

Which of the following code blocks reads in the JSON file stored at filePath as a DataFrame?

Options:

A.  

spark.read.json(filePath)

B.  

spark.read.path(filePath, source="json")

C.  

spark.read().path(filePath)

D.  

spark.read().json(filePath)

E.  

spark.read.path(filePath)

Discussion 0

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Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 FAQs

Databricks Certified Associate Developer for Apache Spark

Understanding and applying the Spark DataFrame API for data manipulation tasks.

Apache Spark architecture concepts, applications, and DataFrame API applications.

120 minutes

Multiple choice

60

Databricks Certified Associate Developer for Apache Spark

Pass the certification exam.

2 years

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