Free Databricks Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 Exam Questions

Become Databricks Certified with updated Databricks-Certified-Associate-Developer-for-Apache-Spark-3.0 exam questions and correct answers

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Total 420 Questions | Updated On: Apr 18, 2025

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Question 1

Which of the following code blocks reads in the JSON file stored at filePath, enforcing the schema expressed

in JSON format in variable json_schema, shown in the code block below?

Code block:

1.json_schema = """

2.{"type": "struct",

3. "fields": [

4. {

5. "name": "itemId",

6. "type": "integer",

7. "nullable": true,

8. "metadata": {}

9. },

10. {

11. "name": "supplier",

12. "type": "string",

13. "nullable": true,

14. "metadata": {}

15. }

16. ]

17.}

18."""

A : ark.read.json(filePath, schema=json_schema)

B : ark.read.schema(json_schema).json(filePath) 1.schema = StructType.fromJson(json.loads(json_schema))2.spark.read.json(filePath, schema=schema)

C : ark.read.json(filePath, schema=schema_of_json(json_schema))

D : ark.read.json(filePath, schema=spark.read.json(json_schema))

Answer: B

Question 2

Which of the following is true for driver ?

A : a chunk of data that sit on a single machine in a cluster.

B : ponsible for executing work that will be completed in parallel.

C : ponsible for assigning work that will be completed in parallel.

D : ports the state of some computation back to a central system.

E : ponsible for allocating resources for worker nodes.

Answer: C

Question 3

You have a need to transform a column named ‘date’ to a timestamp format. Assume that the column ‘date’ is timestamp compatible. You have written the code block

down below, but it contains an error. Identify and fix it.

df.select(to_timestamp("yyyy-dd-MM", col("date"))).show()

A : to_timestamp() is not a valid operation. Proper function is toTimestamp()1. df.select(toTimestamp(col("date"), "yyyy-dd-MM"))

B : to_timestamp() is not a valid operation. Proper function is toTimestamp()1. df.select(toTimestamp("yyyy-dd-MM", col("date")))

C : No need for the quotes.df.select(to_timestamp(yyyy-dd-MM, col(date)))

D : First parameter should be column and then it should be followed by the desired format.df.select(to_timestamp(col("date"), "yyyy-dd-MM"))

Answer: D

Question 4

What are the possible strategies in order to decrease garbage collection time ?

A : rsist objects in serialized form

B : eate fewer objects

C : crease java heap space size

Answer: A,B,C

Question 5

Choose the correct code block to unpersist a table named ‘table’.

A : ark.catalog.uncacheTable(table)

B : ark.uncacheTable(table)

C : ark.catalog.uncacheTable(“table”)

D : ark.uncacheTable(“table”)

Answer: C

Page: 1 / 84

Total 420 Questions | Updated On: Apr 18, 2025

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