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Professional-Data-Engineer復習過去問、Google Professional-Data-Engineer試験対策 - Google Certified Professional-Data-Engineer Exam - Royalholidayclubbed
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Google Professional-Data-Engineer復習過去問試験に合格することは簡単ではなくて、適切な訓练を選ぶのはあなたの成功の第一歩です。情報源はあなたの成功の保障で、Royalholidayclubbedの商品はとてもいい情報保障ですよ。君はRoyalholidayclubbedの商品を選ばればGoogle Professional-Data-Engineer復習過去問認証試験に合格するのを１００％保証するだけでなくあなたのために1年の更新を無料で提供します。 RoyalholidayclubbedにIT業界のエリートのグループがあって、彼達は自分の経験と専門知識を使ってGoogle Professional-Data-Engineer復習過去問認証試験に参加する方に対して問題集を研究続けています。君が後悔しないようにもっと少ないお金を使って大きな良い成果を取得するためにRoyalholidayclubbedを選択してください。 Royalholidayclubbedはあなたが100% でProfessional-Data-Engineer復習過去問試験に合格させるの保証することができてまたあなたのために一年の無料の試験の練習問題と解答の更新サービス提供して、もし試験に失敗したら、弊社はすぐ全額で返金を保証いたします。
Google Cloud Certified Professional-Data-Engineer でも、成功へのショートカットがを見つけました。
Google Cloud Certified Professional-Data-Engineer復習過去問 - Google Certified Professional Data Engineer Exam 常々、時間とお金ばかり効果がないです。 RoyalholidayclubbedはあなたがGoogleのProfessional-Data-Engineer 基礎問題集認定試験に合格する確保です。Royalholidayclubbed のトレーニング試験は問題と解答に含まれています。
Royalholidayclubbedは多くの受験生を助けて彼らにGoogleのProfessional-Data-Engineer復習過去問試験に合格させることができるのは我々専門的なチームがGoogleのProfessional-Data-Engineer復習過去問試験を研究して解答を詳しく分析しますから。試験が更新されているうちに、我々はGoogleのProfessional-Data-Engineer復習過去問試験の資料を更新し続けています。できるだけ100％の通過率を保証使用にしています。
Google Professional-Data-Engineer復習過去問 - 暇の時間を利用して勉強します。
GoogleのProfessional-Data-Engineer復習過去問試験の認定はIT業種で欠くことができない認証です。では、どうやって、最も早い時間でGoogleのProfessional-Data-Engineer復習過去問認定試験に合格するのですか。Royalholidayclubbedは君にとって最高な選択になっています。RoyalholidayclubbedのGoogleのProfessional-Data-Engineer復習過去問試験トレーニング資料はRoyalholidayclubbedのIT専門家たちが研究して、実践して開発されたものです。その高い正確性は言うまでもありません。もし君はいささかな心配することがあるなら、あなたはうちの商品を購入する前に、Royalholidayclubbedは無料でサンプルを提供することができます。
多分、Professional-Data-Engineer復習過去問テスト質問の数が伝統的な問題の数倍である。Google Professional-Data-Engineer復習過去問試験参考書は全ての知識を含めて、全面的です。
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 2
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: 3
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: 4
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
QUESTION NO: 5
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
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Updated: May 27, 2022
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