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| Section | Weight | Objectives |
|---|---|---|
| Topic 1: Using Spark SQL | 20% | - Spark SQL Operations
|
| Topic 2: Apache Spark Architecture and Components | 20% | - Spark Architecture
|
| Topic 3: Using Spark Connect to Deploy Applications | 5% | - Spark Connect
|
| Topic 4: Structured Streaming | 10% | - Streaming Applications
|
| Topic 5: Developing Apache Spark DataFrame API Applications | 30% | - DataFrame Operations
|
| Topic 6: Troubleshooting and Tuning | 10% | - Performance Optimization
|
| Topic 7: Using Pandas API on Spark | 5% | - Pandas API
|
28 of 55.
A data analyst builds a Spark application to analyze finance data and performs the following operations:
filter, select, groupBy, and coalesce.
Which operation results in a shuffle?
Correct Answer: D 🗳️
Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).
38 of 55.
A data engineer is working with Spark SQL and has a large JSON file stored at /data/input.json.
The file contains records with varying schemas, and the engineer wants to create an external table in Spark SQL that:
Reads directly from /data/input.json.
Infers the schema automatically.
Merges differing schemas.
Which code snippet should the engineer use?
Correct Answer: D 🗳️
Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).
A Data Analyst is working on the DataFrame sensor_df, which contains two columns:
Which code fragment returns a DataFrame that splits the record column into separate columns and has one array item per row?
A)
B)
C)
D)
Correct Answer: B 🗳️
Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).
An engineer wants to join two DataFrames df1 and df2 on the respective employee_id and emp_id columns:
df1: employee_id INT, name STRING
df2: emp_id INT, department STRING
The engineer uses:
result = df1.join(df2, df1.employee_id == df2.emp_id, how='inner')
What is the behaviour of the code snippet?
Correct Answer: A 🗳️
Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).
14 of 55.
A developer created a DataFrame with columns color, fruit, and taste, and wrote the data to a Parquet directory using:
df.write.partitionBy("color", "taste").parquet("/path/to/output")
What is the result of this code?
Correct Answer: D 🗳️
Explanation: Only visible for VerifiedDumps members. You can sign-up / login (it's free).
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