Goldmile-Infobiz提供的培訓資料和正式的考試內容是非常接近的。你經過我們短期的特殊培訓可以很快的掌握IT專業知識，為你參加考試做好準備。我們承諾將盡力幫助你通過Google Professional-Data-Engineer認證考試解析 認證考試。 空想可以使人想出很多絕妙的主意，但卻辦不了任何事情。所以當你苦思暮想的如何通過Google的Professional-Data-Engineer認證考試解析認證考試時，還不如打開你的電腦，點擊Goldmile-Infobiz，你就會看到你最想要的東西，價格非常優惠，品質可以保證，而且保證你100%通過考試。 我相信你對我們的產品將會很有信心。
Google Cloud Certified Professional-Data-Engineer 比賽是這樣，同樣考試也是這樣的。
還在為怎樣才能順利通過Google Professional-Data-Engineer - Google Certified Professional Data Engineer Exam認證考試解析 認證考試而苦惱嗎？還在苦苦等待Google Professional-Data-Engineer - Google Certified Professional Data Engineer Exam認證考試解析 認證考試的最新資料嗎？Goldmile-Infobiz研究出了最新的Google Professional-Data-Engineer - Google Certified Professional Data Engineer Exam認證考試解析 認證考試相關資料。 但是，和考試的重要性一樣，這個考試也是非常難的。要通过考试是有些难，但是不用担心。
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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
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
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
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: 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