최신 Databricks Certification Associate-Developer-Apache-Spark-3.5 무료샘플문제:
1. 46 of 55.
A data engineer is implementing a streaming pipeline with watermarking to handle late-arriving records.
The engineer has written the following code:
inputStream \
.withWatermark("event_time", "10 minutes") \
.groupBy(window("event_time", "15 minutes"))
What happens to data that arrives after the watermark threshold?
A) The watermark ensures that late data arriving within 10 minutes of the latest event time will be processed and included in the windowed aggregation.
B) Any data arriving more than 10 minutes after the watermark threshold will be ignored and not included in the aggregation.
C) Data arriving more than 10 minutes after the latest watermark will still be included in the aggregation but will be placed into the next window.
D) Records that arrive later than the watermark threshold (10 minutes) will automatically be included in the aggregation if they fall within the 15-minute window.
2. 43 of 55.
An organization has been running a Spark application in production and is considering disabling the Spark History Server to reduce resource usage.
What will be the impact of disabling the Spark History Server in production?
A) Improved job execution speed due to reduced logging overhead
B) Prevention of driver log accumulation during long-running jobs
C) Enhanced executor performance due to reduced log size
D) Loss of access to past job logs and reduced debugging capability for completed jobs
3. A data engineer wants to create an external table from a JSON file located at /data/input.json with the following requirements:
Create an external table named users
Automatically infer schema
Merge records with differing schemas
Which code snippet should the engineer use?
Options:
A) CREATE EXTERNAL TABLE users USING json OPTIONS (path '/data/input.json', schemaMerge 'true')
B) CREATE TABLE users USING json OPTIONS (path '/data/input.json')
C) CREATE EXTERNAL TABLE users USING json OPTIONS (path '/data/input.json', mergeSchema 'true')
D) CREATE EXTERNAL TABLE users USING json OPTIONS (path '/data/input.json')
4. A data engineer is reviewing a Spark application that applies several transformations to a DataFrame but notices that the job does not start executing immediately.
Which two characteristics of Apache Spark's execution model explain this behavior?
Choose 2 answers:
A) The Spark engine requires manual intervention to start executing transformations.
B) Transformations are evaluated lazily.
C) The Spark engine optimizes the execution plan during the transformations, causing delays.
D) Transformations are executed immediately to build the lineage graph.
E) Only actions trigger the execution of the transformation pipeline.
5. Given the following code snippet in my_spark_app.py:
What is the role of the driver node?
A) The driver node holds the DataFrame data and performs all computations locally
B) The driver node orchestrates the execution by transforming actions into tasks and distributing them to worker nodes
C) The driver node only provides the user interface for monitoring the application
D) The driver node stores the final result after computations are completed by worker nodes
질문과 대답:
| 질문 # 1 정답: B | 질문 # 2 정답: D | 질문 # 3 정답: C | 질문 # 4 정답: B,E | 질문 # 5 정답: B |
1089 개 고객 리뷰
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