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Professional-Data-Engineer模擬解説集、Google Professional-Data-Engineer関連資料 - Google Certified Professional-Data-Engineer Exam - Royalholidayclubbed
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Royalholidayclubbedの専門家チームがGoogleのProfessional-Data-Engineer模擬解説集認証試験に対して最新の短期有効なトレーニングプログラムを研究しました。GoogleのProfessional-Data-Engineer模擬解説集「Google Certified Professional Data Engineer Exam」認証試験に参加者に対して30時間ぐらいの短期の育成訓練でらくらくに勉強しているうちに多くの知識を身につけられます。 自分が試験に合格できない心配があれば、はやくRoyalholidayclubbedのウェブサイトをクリックしてもっと多くの情報を読んでください。GoogleのProfessional-Data-Engineer模擬解説集認定試験を受けてProfessional-Data-Engineer模擬解説集認証資格を取得したいですか。 RoyalholidayclubbedのGoogleのProfessional-Data-Engineer模擬解説集認証試験について最新な研究を完成いたしました。
例えばProfessional-Data-Engineer模擬解説集日本語問題集などいろいろあります。
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RoyalholidayclubbedのGoogleのProfessional-Data-Engineer模擬解説集トレーニング資料即ち問題と解答をダウンロードする限り、気楽に試験に受かることができるようになります。まだ困っていたら、我々の試用版を使ってみてください。ためらわずに速くあなたのショッピングカートに入れてください。
Google Professional-Data-Engineer模擬解説集 - まだ何を待っていますか。
我が社のRoyalholidayclubbedはいつまでもお客様の需要を重点に置いて、他のサイトに比べより完備のGoogle試験資料を提供し、Google試験に参加する人々の通過率を保障できます。お客様に高質のProfessional-Data-Engineer模擬解説集練習問題を入手させるには、我々は常に真題の質を改善し足り、最新の試験に応じて真題をアープデートしたいしています。我々Professional-Data-Engineer模擬解説集試験真題を暗記すれば、あなたはこの試験にパースすることができます。
RoyalholidayclubbedのGoogleのProfessional-Data-Engineer模擬解説集試験トレーニング資料はGoogleのProfessional-Data-Engineer模擬解説集認定試験を準備するのリーダーです。Royalholidayclubbedの GoogleのProfessional-Data-Engineer模擬解説集試験トレーニング資料は高度に認証されたIT領域の専門家の経験と創造を含めているものです。
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
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: 3
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: 4
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: 5
You have a query that filters a BigQuery table using a WHERE clause on timestamp and ID columns. By using bq query - -dry_run you learn that the query triggers a full scan of the table, even though the filter on timestamp and ID select a tiny fraction of the overall data. You want to reduce the amount of data scanned by BigQuery with minimal changes to existing SQL queries. What should you do?
A. Recreate the table with a partitioning column and clustering column.
B. Create a separate table for each I
C. Use the LIMIT keyword to reduce the number of rows returned.
D. Use the bq query - -maximum_bytes_billed flag to restrict the number of bytes billed.
Answer: C
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Updated: May 27, 2022
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