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Google Cloud Certified Professional-Data-Engineer 所以，不要犹豫赶紧行动吧。

我們承諾將盡力幫助你通過Google Professional-Data-Engineer - Google Certified Professional Data Engineer Exam考題免費下載 認證考試。 Shobhadoshi始終致力于為客戶提供高品質的學習資料，來提高考生一次性通過Google 新版 Professional-Data-Engineer 題庫上線考試的概率，這是考生獲取認證最佳捷徑。我們的新版 Professional-Data-Engineer 題庫上線認證PDF和軟件版本具有最新更新的問題解答，涵蓋了所有考試題目和課題大綱，在線測試引擎測試可以幫助您準備并熟悉實際考試情況。

如果你考試失敗，我們會全額退款的。Shobhadoshi的資深專家利用他們豐富的知識和經驗研究出來的關於Google Professional-Data-Engineer考題免費下載 認證考試的練習題和答案和真實考試的試題有95%的相似性。我相信你對我們的產品將會很有信心。

Google Professional-Data-Engineer考題免費下載 - 不相信嗎？Shobhadoshi的考古題就是這樣的資料。

只為成功找方法，不為失敗找藉口。想要通過Google的Professional-Data-Engineer考題免費下載考試認證其實也沒有那麼難，關鍵在於你用什麼樣的方式方法。選擇Shobhadoshi Google的Professional-Data-Engineer考題免費下載考試培訓資料是個不錯選擇，它會幫助我們順利通過考試，這也是通往成功的最佳捷徑，每個人都有可能成功，關鍵在於選擇。

在IT行業中工作的人們現在最想參加的考試好像是Google的認證考試吧。作為被廣泛認證的考試，Google的考試越來越受大家的歡迎。

Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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: 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
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 have an Apache Kafka Cluster on-prem with topics containing web application logs. You need to replicate the data to Google Cloud for analysis in BigQuery and Cloud Storage. The preferred replication method is mirroring to avoid deployment of Kafka Connect plugins.
What should you do?
A. Deploy the PubSub Kafka connector to your on-prem Kafka cluster and configure PubSub as a Sink connector. Use a Dataflow job to read fron PubSub and write to GCS.
B. Deploy a Kafka cluster on GCE VM Instances. Configure your on-prem cluster to mirror your topics to the cluster running in GCE. Use a Dataproc cluster or Dataflow job to read from Kafka and write to
GCS.
C. Deploy the PubSub Kafka connector to your on-prem Kafka cluster and configure PubSub as a
Source connector. Use a Dataflow job to read fron PubSub and write to GCS.
D. Deploy a Kafka cluster on GCE VM Instances with the PubSub Kafka connector configured as a Sink connector. Use a Dataproc cluster or Dataflow job to read from Kafka and write to GCS.
Answer: B

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Updated: May 27, 2022