Shobhadoshi網站在通過Professional-Data-Engineer考試大綱資格認證考試的考生中有著良好的口碑。這是大家都能看得到的事實。Shobhadoshi以它強大的考古題得到人們的認可，只要你選擇它作為你的考前復習工具，就會在Professional-Data-Engineer考試大綱資格考試中有非常滿意的收穫，這也是大家有目共睹的。 Google的Professional-Data-Engineer考試大綱考試認證將會從遙不可及變得綽手可得。這是為什麼呢，因為有Shobhadoshi Google的Professional-Data-Engineer考試大綱考試培訓資料在手，Shobhadoshi Google的Professional-Data-Engineer考試大綱考試培訓資料是IT認證最好的培訓資料，它以最全最新，通過率最高而聞名，而且省時又省力，有了它，你將輕鬆的通過考試。 我們不斷的更新Professional-Data-Engineer考試大綱考題資料，以保證其高通過率，是大家值得選擇的最新、最準確的Google Professional-Data-Engineer考試大綱學習資料產品。

而且通過 Google Professional-Data-Engineer考試大綱 認證考試也不是很簡單的。

Google Cloud Certified Professional-Data-Engineer考試大綱 - Google Certified Professional Data Engineer Exam 只要你使用過一次Shobhadoshi的資料，你就肯定還想用第二次。 為了通過Google Professional-Data-Engineer 題庫最新資訊 認證考試，請選擇我們的Shobhadoshi來取得好的成績。你不會後悔這樣做的，花很少的錢取得如此大的成果這是值得的。

那麼，為了通過這個考試你是怎麼進行準備的呢？是死命地學習與考試相關的知識呢，還是使用了高效率的學習資料呢？Google的認證資格最近越來越受歡迎了。因為這是國際廣泛認可的資格，因此參加Google的認證考試的人也越來越多了。

Google Professional-Data-Engineer考試大綱 - 在你使用之後，相信你會很滿意我們的產品的。

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Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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: 2
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

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
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: 5
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

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Updated: May 27, 2022