GoogleのProfessional-Data-Engineer資格受験料試験は難しいですが、我々Shobhadoshiは自分のチームに自信を持っています。弊社の専門家たちのGoogleのProfessional-Data-Engineer資格受験料試験への研究はGoogleのProfessional-Data-Engineer資格受験料ソフトの高効率に保障があります。我々のデモを無料でやってみよう。 Shobhadoshiは君のために良い訓練ツールを提供し、君のGoogle認証試に高品質の参考資料を提供しいたします。あなたの全部な需要を満たすためにいつも頑張ります。 あなたに相応しいProfessional-Data-Engineer資格受験料問題集を購入できさせるには、Googleは問題集の見本を無料に提供し、あなたはダウンロードしてやることができます。
Google Cloud Certified Professional-Data-Engineer資格受験料 - Google Certified Professional Data Engineer Exam あなたが自分のキャリアでの異なる条件で自身の利点を発揮することを助けられます。 弊社が提供した部分の資料を試用してから、決断を下ろしてください。もし弊社を選ばれば、100%の合格率を保証でございます。
試験の準備をするためにShobhadoshiのGoogleのProfessional-Data-Engineer資格受験料試験トレーニング資料を買うのは冒険的行為と思ったとしたら、あなたの人生の全てが冒険なことになります。一番遠いところへ行った人はリスクを背負うことを恐れない人です。また、ShobhadoshiのGoogleのProfessional-Data-Engineer資格受験料試験トレーニング資料が信頼できるのは多くの受験生に証明されたものです。
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QUESTION NO: 1
You want to use Google Stackdriver Logging to monitor Google BigQuery usage. You need an instant notification to be sent to your monitoring tool when new data is appended to a certain table using an insert job, but you do not want to receive notifications for other tables. What should you do?
A. Using the Stackdriver API, create a project sink with advanced log filter to export to Pub/Sub, and subscribe to the topic from your monitoring tool.
B. In the Stackdriver logging admin interface, enable a log sink export to Google Cloud Pub/Sub, and subscribe to the topic from your monitoring tool.
C. In the Stackdriver logging admin interface, and enable a log sink export to BigQuery.
D. Make a call to the Stackdriver API to list all logs, and apply an advanced filter.
Answer: C
QUESTION NO: 2
Which Google Cloud Platform service is an alternative to Hadoop with Hive?
A. Cloud Datastore
B. Cloud Bigtable
C. BigQuery
D. Cloud Dataflow
Answer: C
Explanation
Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data summarization, query, and analysis.
Google BigQuery is an enterprise data warehouse.
Reference: https://en.wikipedia.org/wiki/Apache_Hive
QUESTION NO: 3
You need to create a near real-time inventory dashboard that reads the main inventory tables in your BigQuery data warehouse. Historical inventory data is stored as inventory balances by item and location. You have several thousand updates to inventory every hour. You want to maximize performance of the dashboard and ensure that the data is accurate. What should you do?
A. Use the BigQuery streaming the stream changes into a daily inventory movement table. Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
B. Use the BigQuery bulk loader to batch load inventory changes into a daily inventory movement table.
Calculate balances in a view that joins it to the historical inventory balance table. Update the inventory balance table nightly.
C. Leverage BigQuery UPDATE statements to update the inventory balances as they are changing.
D. Partition the inventory balance table by item to reduce the amount of data scanned with each inventory update.
Answer: C
QUESTION NO: 4
Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?
A. Use the Google Cloud Billing API to see what account the warehouse is being billed to.
B. Use Stackdriver Monitoring to see the usage of BigQuery query slots.
C. Get the identity and access management IIAM) policy of each table
D. Use Google Stackdriver Audit Logs to review data access.
Answer: B
QUESTION NO: 5
You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
* The user profile: What the user likes and doesn't like to eat
* The user account information: Name, address, preferred meal times
* The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schema. Which Google Cloud Platform product should you use?
A. BigQuery
B. Cloud Datastore
C. Cloud SQL
D. Cloud Bigtable
Answer: A
CompTIA CAS-004-JPN - もし弊社の商品が君にとっては何も役割にならなくて全額で返金いたいます。 ShobhadoshiのGoogleのISC CISSP-JP試験トレーニング資料はGoogleのISC CISSP-JP認定試験を準備するのリーダーです。 ShobhadoshiはGoogleのAlcatel-Lucent 4A0-100の認定試験を真実に、全面的に研究したサイトです。 もちろん、我々はあなたに一番安心させるのは我々の開発する多くの受験生に合格させるGoogleのMicrosoft PL-600試験のソフトウェアです。 ISACA CGEIT - 、弊社は最全面的な認証試験問題と解答を提供するだけでまく、一年間の無料更新サービスも提供いたします。
Updated: May 27, 2022
試験コード:Professional-Data-Engineer
試験名称:Google Certified Professional Data Engineer Exam
最近更新時間:2025-06-12
問題と解答:全 380 問
Google Professional-Data-Engineer テスト対策書
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試験コード:Professional-Data-Engineer
試験名称:Google Certified Professional Data Engineer Exam
最近更新時間:2025-06-12
問題と解答:全 380 問
Google Professional-Data-Engineer 科目対策
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試験コード:Professional-Data-Engineer
試験名称:Google Certified Professional Data Engineer Exam
最近更新時間:2025-06-12
問題と解答:全 380 問
Google Professional-Data-Engineer 勉強資料
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