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Google Cloud Certified Professional-Data-Engineer 而且，這個資料可以保證你一次通過考試。

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他們都在IT行業中有很高的權威。他們利用專業的知識和經驗不斷地為準備參加IT相關認證考試的人提供培訓材料。Shobhadoshi提供的考試練習題和答案準確率很高，可以100%保證你考試一次性成功，而且還免費為你提供一年的更新服務。

對於 Google的Google Professional-Data-Engineer考題寶典考試認證每個考生都很迷茫。

我們Shobhadoshi的 Google的Professional-Data-Engineer考題寶典的考題資料是按照相同的教學大綱來來研究的，同時也不斷升級我們的培訓材料，所以我們的考試培訓資料包括試題及答案，和實際的考試相似度非常高，所以形成了我們Shobhadoshi的通過率也是非常的高，這也是不可否認的事實， 由此知道Shobhadoshi Google的Professional-Data-Engineer考題寶典考試培訓資料對考生的幫助，而且我們的價格絕對合理，適合每位IT認證的考生。

但是這並不代表不能獲得高分輕鬆通過考試。那麼，還不知道通過這個考試的捷徑在哪里的你，是不是想知道通過考試的技巧呢？現在我來告訴你，就是利用Shobhadoshi的Professional-Data-Engineer考題寶典考古題。

Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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

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
For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?
A. Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
B. Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
C. Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
D. Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
Answer: D
Explanation
It is recommended to create your Compute Engine instance in the same zone as your Cloud Bigtable instance for the best possible performance, If it's not possible to create a instance in the same zone, you should create your instance in another zone within the same region. For example, if your Cloud
Bigtable instance is located in us-central1-b, you could create your instance in us-central1-f. This change may result in several milliseconds of additional latency for each Cloud Bigtable request.
It is recommended to avoid creating your Compute Engine instance in a different region from your
Cloud Bigtable instance, which can add hundreds of milliseconds of latency to each Cloud Bigtable request.
Reference: https://cloud.google.com/bigtable/docs/creating-compute-instance

QUESTION NO: 4
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: 5
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

大家都是一邊工作一邊準備考試，這樣很費心費力吧？為了避免你在準備考試時浪費太多的時間，Shobhadoshi為你提供了只需要經過很短時間的學習就可以通過考試的Fortinet FCP_FML_AD-7.4考古題。 對於Amazon SOA-C02認證考試，你是怎麼想的呢？作為非常有人氣的Google認證考試之一，這個考試也是非常重要的。 即將參加Google的ISTQB CTAL-TM_001-KR認證考試的你沒有信心通過考試嗎？不用害怕，因為Shobhadoshi可以提供給你最好的資料。 所有購買Scaled Agile SAFe-Agilist題庫的客戶都將得到一年的免費升級服務，這讓您擁有充裕的時間來完成考試。 Salesforce Revenue-Cloud-Consultant-Accredited-Professional - 而且，Shobhadoshi也是當前市場上最值得你信賴的網站。

Updated: May 27, 2022