Professional-Data-Engineer學習筆記 - Google Professional-Data-Engineer認證資料 & Google Certified Professional-Data-Engineer Exam - Royalholidayclubbed

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Professional-Data-Engineer學習筆記考試是IT行業的當中一個新的轉捩點，你將成為IT行業的專業高端人士，隨著資訊技術的普及和進步，你們會看到有數以計百的線上資源，提供Google的Professional-Data-Engineer學習筆記考題和答案，而Royalholidayclubbed卻遙遙領先，人們選擇Royalholidayclubbed是因為Royalholidayclubbed的Google的Professional-Data-Engineer學習筆記考試培訓資料真的可以給人們帶來好處，能幫助你早日實現你的夢想！在如今時間那麼寶貴的社會裏，我建議您來選擇Royalholidayclubbed為您提供的短期培訓，你可以花少量的時間和金錢就可以通過您第一次參加的Google Professional-Data-Engineer學習筆記 認證考試。如果你仍然在努力學習為通過Google的Professional-Data-Engineer學習筆記考試認證，我們Royalholidayclubbed為你實現你的夢想。

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Google Professional-Data-Engineer學習筆記 - 人之所以能，是相信能。

在21世紀這個IT行業如此輝煌的時代，競爭是很激烈的。理所當然的，在IT行業中Google Professional-Data-Engineer學習筆記認證考試成為了一個很熱門的考試。報名參加考試的人越來越多，並且能通過這個認證考試也是那些雄心勃勃的IT專業人士的夢想。

因為這個考古題的命中率非常高，只要你認真記住考古題裏面出現的問題和答案，那麼你就可以通過Professional-Data-Engineer學習筆記考試。你已經報名參加Google的Professional-Data-Engineer學習筆記認證考試了嗎？“馬上就要到考試的時間了，但是我還是沒有信心通過考試，應該怎麼辦呢？有捷徑可以讓我順利通過考試嗎？看參考書的時間也不夠了。

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 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
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 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

by RHC.

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