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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
在短短幾年中,Google的CompTIA CS0-003考試認證在日常生活中給人們造成了影響,但未來的關鍵問題是如何更有效的第一次通過Google的CompTIA CS0-003考試認證?回答這個問題就是利用Shobhadoshi Google的CompTIA CS0-003考試培訓資料,有了它便實現了你的第一次通過考試認證,你還在等什麼,去獲得Shobhadoshi Google的CompTIA CS0-003考試培訓資料,有了它將得到更多你想要的東西。 使用Shobhadoshi公司推出的Snowflake ARA-C01考試學習資料,您將發現與真實考試95%相似的考試問題和答案,以及我們升級版之后的Google Snowflake ARA-C01題庫,覆蓋率會更加全面。 Shobhadoshi Google的PMI PMI-RMP考試培訓資料就是這樣成功的培訓資料,舍它其誰? 沒有做過任何的努力當然是不容易通過的,畢竟通過Google SAP C-C4H56-2411認證考試需要相當過硬的專業知識。 SAVE International VMA - 人之所以能,是相信能。
Updated: May 27, 2022
考試編碼:Professional-Data-Engineer
考試名稱:Google Certified Professional Data Engineer Exam
更新時間:2025-06-07
問題數量:380題
Google Professional-Data-Engineer 考古題更新
下載免費試用
考試編碼:Professional-Data-Engineer
考試名稱:Google Certified Professional Data Engineer Exam
更新時間:2025-06-07
問題數量:380題
Google Professional-Data-Engineer 考試內容
下載免費試用
考試編碼:Professional-Data-Engineer
考試名稱:Google Certified Professional Data Engineer Exam
更新時間:2025-06-07
問題數量:380題
Google Professional-Data-Engineer 題庫最新資訊
下載免費試用