Professional-Data-Engineer必殺問題集 - Google Professional-Data-Engineer日本語版対策ガイド & Google Certified Professional-Data-Engineer Exam - Goldmile-Infobiz

無論Goldmile-InfobizのGoogleのProfessional-Data-Engineer必殺問題集問題集が一番頼りになります。Goldmile-Infobizには専門的なエリート団体があります。認証専門家や技術者及び全面的な言語天才がずっと最新のGoogleのProfessional-Data-Engineer必殺問題集試験を研究していて、最新のGoogleのProfessional-Data-Engineer必殺問題集問題集を提供します。 我々Goldmile-Infobiz提供するProfessional-Data-Engineer必殺問題集問題集を通して、試験に迅速的にパースする技をファンドできます。あなたのご遠慮なく購買するために、弊社は提供する無料のGoogle Professional-Data-Engineer必殺問題集問題集デーモをダウンロードします。 いろいろな受験生に通用します。

Google Cloud Certified Professional-Data-Engineer 」と感謝します。

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Google Professional-Data-Engineer必殺問題集 - 本当に助かりました。

今の多くのIT者が参加している試験に、GoogleのProfessional-Data-Engineer必殺問題集認定試験「Google Certified Professional Data Engineer Exam」がとても人気がある一つとして、合格するために豊富な知識と経験が必要です。GoogleのProfessional-Data-Engineer必殺問題集認定試験に準備する練習ツールや訓練機関に通学しなればまりませんでしょう。Goldmile-Infobizは君のもっともよい選択ですよ。多くIT者になりたい方にGoogleのProfessional-Data-Engineer必殺問題集認定試験に関する問題集を準備しております。君に短い時間に大量のITの専門知識を補充させています。

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Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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: 2
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: 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
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

QUESTION NO: 5
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

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Updated: May 27, 2022