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Carl Ward Carl Ward

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Databricks-Certified-Professional-Data-Engineer완벽한시험공부자료 & Databricks-Certified-Professional-Data-Engineer퍼펙트덤프데모

Fast2test의 Databricks 인증 Databricks-Certified-Professional-Data-Engineer시험덤프공부자료 출시 당시 저희는 이런 크나큰 인지도를 갖출수 있을지 생각도 못했었습니다. 저희를 믿어주시고 구매해주신 분께 너무나도 감사한 마음에 더욱 열심히 해나가자는 결심을 하였습니다. Databricks 인증 Databricks-Certified-Professional-Data-Engineer덤프자료는Fast2test의 전문가들이 최선을 다하여 갈고닦은 예술품과도 같습니다.100% 시험에서 패스하도록 저희는 항상 힘쓰고 있습니다.

Databricks Certified Professional Data Engineer Exam은 데이터 엔지니어링과 관련된 다양한 주제를 다루는 종합적인 시험입니다. Databricks를 사용하여 데이터 수집, 데이터 변환, 데이터 저장, 데이터 처리 및 데이터 관리에 대한 문제가 포함됩니다. 이 시험은 클러스터 관리, 보안 및 성능 최적화와 같은 주제도 다룹니다. 이 시험은 Databricks를 사용하여 데이터 엔지니어링 솔루션을 설계, 구현 및 관리하는 능력을 시험하는 것이 목적입니다.

Databricks 인증 전문 데이터 엔지니어가 되기 위해서는, 후보자들은 데이터 엔지니어링과 관련된 다양한 주제를 다루는 엄격한 시험을 통과해야 합니다. 이 시험은 Databricks 도구와 기술을 사용하여 데이터 파이프라인을 디자인, 구축, 유지 관리하는 능력을 시험하는 것뿐만 아니라, 데이터 모델링, 데이터 웨어하우징 및 데이터 통합에 대한 이해를 시험합니다.

>> Databricks-Certified-Professional-Data-Engineer완벽한 시험공부자료 <<

Databricks-Certified-Professional-Data-Engineer완벽한 시험공부자료 인증시험공부

Databricks Databricks-Certified-Professional-Data-Engineer인증시험에 응시하고 싶으시다면 좋은 학습자료와 학습 가이드가 필요합니다.Databricks Databricks-Certified-Professional-Data-Engineer시험은 it업계에서도 아주 중요한 인증입니다. 시험패스를 원하신다면 충분한 시험준비는 필수입니다.

최신 Databricks Certification Databricks-Certified-Professional-Data-Engineer 무료샘플문제 (Q98-Q103):

질문 # 98
Where are Interactive notebook results stored in Databricks product architecture?

A. Data and Control plane
B. Data plane
C. Databricks web application
D. JDBC data source
E. Control plane

정답：A

설명：
Explanation
The answer is Data and Control plane,
Only Job results are stored in Data Plane(your storage), Interactive notebook results are stored in a combination of the control plane (partial results for presentation in the UI) and customer storage.
https://docs.microsoft.com/en-us/azure/databricks/getting-started/overview#--high-level-architecture Snippet from the above documentation, Graphical user interface, application Description automatically generated

How to change this behavior?
You can change this behavior using Workspace/Admin Console settings for that workspace, once enabled all of the interactive results are stored in the customer account(data plane) except the new notebook visualization feature Databricks has recently introduced, this still stores some metadata in the control pane irrespective of the below settings. please refer to the documentation for more details.
Graphical user interface, text, application, email Description automatically generated

Why is this important to know?
I recently worked on a project where we had to deal with sensitive information of customers and we had a security requirement that all of the data need to be stored in the data plane including notebook results.

질문 # 99
A data ingestion task requires a one-TB JSON dataset to be written out to Parquet with a target part-file size of 512 MB. Because Parquet is being used instead of Delta Lake, built-in file-sizing features such as Auto-Optimize & Auto-Compaction cannot be used.
Which strategy will yield the best performance without shuffling data?

A. Set spark.sql.shuffle.partitions to 2,048 partitions (1TB*1024*1024/512), ingest the data, execute the narrow transformations, optimize the data by sorting it (which automatically repartitions the data), and then write to parquet.
B. Set spark.sql.files.maxPartitionBytes to 512 MB, ingest the data, execute the narrow transformations, and then write to parquet.
C. Set spark.sql.adaptive.advisoryPartitionSizeInBytes to 512 MB bytes, ingest the data, execute the narrow transformations, coalesce to 2,048 partitions (1TB*1024*1024/512), and then write to parquet.
D. Set spark.sql.shuffle.partitions to 512, ingest the data, execute the narrow transformations, and then write to parquet.
E. Ingest the data, execute the narrow transformations, repartition to 2,048 partitions (1TB* 1024*1024/512), and then write to parquet.

정답：A

질문 # 100
Which of the following SQL command can be used to insert or update or delete rows based on a condition to check if a row(s) exists?

A. UPDATE table_name
B. MERGE INTO table_name
C. COPY INTO table_name
D. INSERT INTO OVERWRITE table_name
E. INSERT IF EXISTS table_name

정답：B

설명：
Explanation
here is the additional documentation for your review.
https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-merge-into.html
1.MERGE INTO target_table_name [target_alias]
2. USING source_table_reference [source_alias]
3. ON merge_condition
4. [ WHEN MATCHED [ AND condition ] THEN matched_action ] [...]
5. [ WHEN NOT MATCHED [ AND condition ] THEN not_matched_action ] [...]
6.
7.matched_action
8. { DELETE |
9. UPDATE SET * |
10. UPDATE SET { column1 = value1 } [, ...] }
11.
12.not_matched_action
13. { INSERT * |
14. INSERT (column1 [, ...] ) VALUES (value1 [, ...])

질문 # 101
A Structured Streaming job deployed to production has been experiencing delays during peak hours of the day.
At present, during normal execution, each microbatch of data is processed in less than 3 seconds. During peak hours of the day, execution time for each microbatch becomes very inconsistent, sometimes exceeding 30 seconds. The streaming write is currently configured with a trigger interval of 10 seconds.
Holding all other variables constant and assuming records need to be processed in less than 10 seconds, which adjustment will meet the requirement?

A. Decrease the trigger interval to 5 seconds; triggering batches more frequently allows idle executors to begin processing the next batch while longer running tasks from previous batches finish.
B. Use the trigger once option and configure a Databricks job to execute the query every 10 seconds; this ensures all backlogged records are processed with each batch.
C. The trigger interval cannot be modified without modifying the checkpoint directory; to maintain the current stream state, increase the number of shuffle partitions to maximize parallelism.
D. Increase the trigger interval to 30 seconds; setting the trigger interval near the maximum execution time observed for each batch is always best practice to ensure no records are dropped.
E. Decrease the trigger interval to 5 seconds; triggering batches more frequently may prevent records from backing up and large batches from causing spill.

정답：B

설명：
Explanation
This is the correct answer because it can meet the requirement of processing records in less than 10 seconds without modifying the checkpoint directory or dropping records. The trigger once option is a special type of trigger that runs the streaming query only once and terminates after processing all available data. This option can be useful for scenarios where you want to run streaming queries on demand or periodically, rather than continuously. By using the trigger once option and configuring a Databricks job to execute the query every 10 seconds, you can ensure that all backlogged records are processed with each batch and avoid inconsistent execution times. Verified References: [Databricks Certified Data Engineer Professional], under "Structured Streaming" section; Databricks Documentation, under "Trigger Once" section.

질문 # 102
A notebook accepts an input parameter that is assigned to a python variable called department and this is an optional parameter to the notebook, you are looking to control the flow of the code using this parameter. you have to check department variable is present then execute the code and if no department value is passed then skip the code execution. How do you achieve this using python?

A. 1.if department is not None:
2. #Execute code
3.else:
4. pass
(Correct)
B. 1.if department is not None:
2. #Execute code
3.then:
4. pass
C. 1.if department is None:
2. #Execute code
3.else:
4. pass
D. 1.if department is not None:
2. #Execute code
3.end:
4. pass
E. 1.if (department is not None)
2. #Execute code
3.else
4. pass

정답：A

설명：
Explanation
The answer is,
1.if department is not None:
2. #Execute code
3.else:
4. pass

질문 # 103
......

아직도 Databricks인증Databricks-Certified-Professional-Data-Engineer시험준비를 어떻게 해야 할지 망설이고 계시나요? 고객님의 IT인증시험준비길에는 언제나 Fast2test가 곁을 지켜주고 있습니다. Fast2test시험공부자료를 선택하시면 자격증취득의 소원이 이루어집니다. Databricks인증Databricks-Certified-Professional-Data-Engineer시험덤프는Fast2test가 최고의 선택입니다.

Databricks-Certified-Professional-Data-Engineer퍼펙트 덤프데모: https://kr.fast2test.com/Databricks-Certified-Professional-Data-Engineer-premium-file.html

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