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うちの学習教材の内容は正確性が高くて、GoogleのProfessional-Data-Engineer学習関連題認定試験に合格する率は１００パッセントになっていました。RoyalholidayclubbedのGoogleのProfessional-Data-Engineer学習関連題試験トレーニング資料を手に入れたら、あなたは認定試験に合格する鍵を手に入れるというのに等しいです。この認定は君のもっと輝い職業生涯と未来に大変役に立ちます。我々Professional-Data-Engineer学習関連題問題集の通過率は高いので、90％の合格率を保証します。あなたは弊社の高品質Google　Professional-Data-Engineer学習関連題試験資料を利用して、一回に試験に合格します。 Royalholidayclubbedを選ぶなら、きっと君に後悔させません。

Google Cloud Certified Professional-Data-Engineer 暇の時間を利用して勉強します。

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我々のソフトは多くの受験生にGoogleのProfessional-Data-Engineer学習関連題試験に合格させました。我々の通過率はいくつ高くても、我々はあなたが試験に失敗したら全額で返金するのを保証します。これはあなたに安心で弊社の商品を購入させるためです。

Google Professional-Data-Engineer学習関連題 - 我々のデモを無料でやってみよう。

きみはGoogleのProfessional-Data-Engineer学習関連題認定テストに合格するためにたくさんのルートを選択肢があります。Royalholidayclubbed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学習関連題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。あなたProfessional-Data-Engineer学習関連題問題集を購入してから、一年間の無料更新サービスをていきょうします。

Professional-Data-Engineer PDF DEMO:

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
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: 3
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: 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

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Updated: May 27, 2022

by RHC.

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