Databricks-Certified-Professional-Data-Engineer資格参考書、Databricks-Certified-Professional-Data-Engineer試験対策

現代の競争が激しくても、受験者がDatabricks-Certified-Professional-Data-Engineer参考書に対するニーズを止めることができません。Databricks-Certified-Professional-Data-Engineer参考書についてもっと具体的な情報を得るために、JPNTest会社のウエブサイトを訪問していただきます。そうすれば、実際のDatabricks-Certified-Professional-Data-Engineer試験についての情報と特徴を得ることができます。興味を持つお客様はDatabricks会社のウエブサイトから無料でデモをダウンロードできます。

Databricks認定プロフェッショナルデータエンジニア試験は、DataBricksプラットフォーム上のデータパイプラインの構築、設計、管理に関する候補者の知識とスキルをテストするように設計されています。この試験では、データ処理、データストレージ、データ倉庫、データモデリング、データアーキテクチャなど、さまざまなトピックをカバーしています。候補者は、これらのトピックを深く理解し、実際のシナリオにそれらを適用できることが期待されています。

Databricks認定プロフェッショナルデータエンジニア試験は、Databricksプラットフォームで作業する能力をデータエンジニアが証明するための優れた方法です。これにより、雇用主は潜在的な候補者のスキルを検証し、データエンジニアがDatabricksを効果的に使用するために必要な知識とスキルを持っていることを保証できます。

>> Databricks-Certified-Professional-Data-Engineer資格参考書 <<

Databricks Databricks-Certified-Professional-Data-Engineer試験対策、Databricks-Certified-Professional-Data-Engineer資格関連題

Databricks-Certified-Professional-Data-Engineer試験の質問は、当社の製品を使用して試験を準備し、夢の証明書を取得できると信じています。より良い求人を希望する場合は、適切なプロ品質を備えなければならないことを私たちは皆知っています。私たちのDatabricks-Certified-Professional-Data-Engineer学習教材はあなたのそばにいて気配りのあるサービスを提供する用意があります、そして私たちのDatabricks-Certified-Professional-Data-Engineer学習教材はすべてのお客様に心からお勧めします。想像できる。 Databricks-Certified-Professional-Data-Engineerトレーニングガイドには多くの利点があります。

Databricks Certified Professional Data Engineer Exam 認定 Databricks-Certified-Professional-Data-Engineer 試験問題 (Q118-Q123):

質問 # 118
What is the main difference between the bronze layer and silver layer in a medallion architecture?

A. Bronze is raw copy of ingested data, silver contains data with production schema and optimized for ELT/ETL throughput
B. Duplicates are removed in bronze, schema is applied in silver
C. Bad data is filtered in Bronze, silver is a copy of bronze data
D. Silver may contain aggregated data

正解：A

解説：
Explanation
Medallion Architecture - Databricks
Exam focus: Please review the below image and understand the role of each layer(bronze, silver, gold) in medallion architecture, you will see varying questions targeting each layer and its purpose.
Sorry I had to add the watermark some people in Udemy are copying my content.
A diagram of a house Description automatically generated with low confidence

質問 # 119
How do you check the location of an existing schema in Delta Lake?

A. Run SQL command DESCRIBE SCHEMA EXTENDED schema_name
E Schemas are internally in-store external hive meta stores like MySQL or SQL Server
B. Use Data explorer
C. Run SQL command SHOW LOCATION schema_name
D. Check unity catalog UI

正解：A

解説：
Explanation
Here is an example of how it looks
Graphical user interface, text, application, email Description automatically generated

質問 # 120
Assuming that the Databricks CLI has been installed and configured correctly, which Databricks CLI command can be used to upload a custom Python Wheel to object storage mounted with the DBFS for use with a production job?

A. jobs
B. workspace
C. fs
D. configure
E. libraries

正解：E

解説：
Explanation
The libraries command group allows you to install, uninstall, and list libraries on Databricks clusters. You can use the libraries install command to install a custom Python Wheel on a cluster by specifying the --whl option and the path to the wheel file. For example, you can use the following command to install a custom Python Wheel named mylib-0.1-py3-none-any.whl on a cluster with the id 1234-567890-abcde123:
databricks libraries install --cluster-id 1234-567890-abcde123 --whl
dbfs:/mnt/mylib/mylib-0.1-py3-none-any.whl
This will upload the custom Python Wheel to the cluster and make it available for use with a production job.
You can also use the libraries uninstall command to uninstall a library from a cluster, and the libraries list command to list the libraries installed on a cluster.
References:
Libraries CLI (legacy): https://docs.databricks.com/en/archive/dev-tools/cli/libraries-cli.html Library operations: https://docs.databricks.com/en/dev-tools/cli/commands.html#library-operations Install or update the Databricks CLI: https://docs.databricks.com/en/dev-tools/cli/install.html

質問 # 121
In order to facilitate near real-time workloads, a data engineer is creating a helper function to leverage the schema detection and evolution functionality of Databricks Auto Loader. The desired function will automatically detect the schema of the source directly, incrementally process JSON files as they arrive in a source directory, and automatically evolve the schema of the table when new fields are detected.
The function is displayed below with a blank:

Which response correctly fills in the blank to meet the specified requirements?

A. Option C
B. Option D
C. Option E
D. Option A
E. Option B

正解：E

解説：
Option B correctly fills in the blank to meet the specified requirements. Option B uses the "cloudFiles.
schemaLocation" option, which is required for the schema detection andevolution functionality of Databricks Auto Loader. Additionally, option B uses the "mergeSchema" option, which is required for the schema evolution functionality of Databricks Auto Loader. Finally, option B uses the "writeStream" method, which is required for the incremental processing of JSON files as they arrive in a source directory. The other options are incorrect because they either omit the required options, use the wrong method, or use the wrong format. References:
* Configure schema inference and evolution in Auto Loader: https://docs.databricks.com/en/ingestion
/auto-loader/schema.html
* Write streaming data: https://docs.databricks.com/spark/latest/structured-streaming/writing-streaming- data.html

質問 # 122
When you drop a managed table using SQL syntax DROP TABLE table_name how does it impact metadata, history, and data stored in the table?

A. Drops table from meta store, drops metadata, history, and data in storage.
B. Drops table but keeps meta data, history and data in storage
C. Drops table from meta store, meta data and history but keeps the data in storage
D. Drops table and history but keeps meta data and data in storage
E. Drops table from meta store and data from storage but keeps metadata and history in storage

正解：A

解説：
Explanation
For a managed table, a drop command will drop everything from metastore and storage.
See the below image to understand the differences between dropping an external table.
Diagram Description automatically generated

質問 # 123
......

もし、あなたはDatabricks-Certified-Professional-Data-Engineer試験に合格することを願っています。しかし、いい復習資料を見つけません。Databricks-Certified-Professional-Data-Engineer復習資料はちようどあなたが探しているものです。Databricks-Certified-Professional-Data-Engineer復習資料は的中率が高く、便利で、使いやすく、全面的なものです。従って、早くDatabricks-Certified-Professional-Data-Engineer復習資料を入手しましょう！

Databricks-Certified-Professional-Data-Engineer試験対策: https://www.jpntest.com/shiken/Databricks-Certified-Professional-Data-Engineer-mondaishu