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Professional-Data-Engineer學習指南 - Google新版Professional-Data-Engineer考古題 & Google Certified Professional-Data-Engineer Exam - Royalholidayclubbed
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在現在這個競爭激烈的社會裏，有一技之長是可以占很大優勢的。尤其在IT行業中.。獲到一些IT認證證書是非常有用的。 當你感到悲哀痛苦時，最好是去學東西，學習會使你永遠立於不敗之地。Royalholidayclubbed Google的Professional-Data-Engineer學習指南考試培訓資料同樣可以幫助你立於不敗之地。 Royalholidayclubbed為你提供真實的環境中找的真正的Google的Professional-Data-Engineer學習指南考試的準備過程，如果你是初學者或是想提高你的專業技能，Royalholidayclubbed Google的Professional-Data-Engineer學習指南考古題將提供你，一步步讓你靠近你的願望，你有任何關於考試的考題及答案的問題，我們將第一時間幫助你解決，在一年之內，我們將提供免費更新。
Google Cloud Certified Professional-Data-Engineer 你也可以隨時要求我們為你提供最新版的考古題。
我們Royalholidayclubbed Google的Professional-Data-Engineer - Google Certified Professional Data Engineer Exam學習指南考試 的問題包含了完整的無限制的轉儲，所以你很容易的通過考試，不管你是通過你的產品合格證或是其他當今流行的身份驗證，完美的展現Royalholidayclubbed Google的Professional-Data-Engineer - Google Certified Professional Data Engineer Exam學習指南考試培訓資料的長處，這不僅僅是依靠，也是指導，這其實是最好的，你可以使用Royalholidayclubbed Google的Professional-Data-Engineer - Google Certified Professional Data Engineer Exam學習指南考試 培訓資料裏的問題和答案通過考試，獲得Google的Professional-Data-Engineer - Google Certified Professional Data Engineer Exam學習指南考試認證。 所有的IT職員都知道，IT認證考試的資格是不容易拿到的。但是，參加IT認證考試獲得資格又是提升自己能力以及更好地證明自己的價值的途徑，所以不得不選擇。
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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
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: 3
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: 4
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: 5
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
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Updated: May 27, 2022
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