Professional-Data-Engineer인증자료 - Professional-Data-Engineer Pdf & Google Certified Professional-Data-Engineer Exam - Omgzlook

Google Professional-Data-Engineer인증자료덤프의 유효성을 보장해드릴수 있도록 저희 기술팀은 오랜시간동안Google Professional-Data-Engineer인증자료시험에 대하여 분석하고 연구해 왔습니다. Google Professional-Data-Engineer인증자료 덤프를 한번 믿고Google Professional-Data-Engineer인증자료시험에 두려움없이 맞서보세요. 만족할수 있는 좋은 성적을 얻게 될것입니다. 많은 애용 바랍니다. Google 인증 Professional-Data-Engineer인증자료시험이 너무 어려워서 시험 볼 엄두도 나지 않는다구요? Omgzlook 덤프만 공부하신다면 IT인증시험공부고민은 이젠 그만 하셔도 됩니다. Google Professional-Data-Engineer인증자료 시험 기출문제를 애타게 찾고 계시나요? Omgzlook의 Google Professional-Data-Engineer인증자료덤프는Google Professional-Data-Engineer인증자료최신 시험의 기출문제뿐만아니라 정답도 표기되어 있고 저희 전문가들의 예상문제도 포함되어있어 한방에 응시자분들의 고민을 해결해드립니다.

Google Cloud Certified Professional-Data-Engineer Omgzlook의 자료만의 제일 전면적이고 또 최신 업데이트일것입니다.

Google Cloud Certified Professional-Data-Engineer인증자료 - Google Certified Professional Data Engineer Exam Omgzlook의 인지도는 고객님께서 상상하는것보다 훨씬 높습니다.많은 분들이Omgzlook의 덤프공부가이드로 IT자격증 취득의 꿈을 이루었습니다. Omgzlook는 여러분이 한번에Google인증Professional-Data-Engineer 시험내용시험을 패스하도록 하겠습니다. 만약Google인증Professional-Data-Engineer 시험내용시험에서 떨어지셨다고 하면 우리는 덤프비용전액 환불입니다.

Omgzlook의 Google인증 Professional-Data-Engineer인증자료덤프를 구매하시면 1년동안 무료 업데이트서비스버전을 받을수 있습니다. 시험문제가 변경되면 업데이트 하도록 최선을 다하기에Omgzlook의 Google인증 Professional-Data-Engineer인증자료덤프의 유효기간을 연장시켜드리는 셈입니다.퍼펙트한 구매후는 서비스는Omgzlook의 Google인증 Professional-Data-Engineer인증자료덤프를 구매하시면 받을수 있습니다.

Google Professional-Data-Engineer인증자료 - 성공을 위해 길을 찾고 실패를 위해 구실을 찾지 않는다는 말이 있습니다.

Omgzlook에서 출시한 Google인증 Professional-Data-Engineer인증자료덤프는 실제시험문제 커버율이 높아 시험패스율이 가장 높습니다. Google인증 Professional-Data-Engineer인증자료시험을 통과하여 자격증을 취득하면 여러방면에서 도움이 됩니다. Omgzlook에서 출시한 Google인증 Professional-Data-Engineer인증자료덤프를 구매하여Google인증 Professional-Data-Engineer인증자료시험을 완벽하게 준비하지 않으실래요? Omgzlook의 실력을 증명해드릴게요.

이렇게 좋은 자격증을 취득하는데 있어서의 필수과목인Google Professional-Data-Engineer인증자료시험을 어떻게 하면 한번에 패스할수 있을가요? 그 비결은 바로Omgzlook의 Google Professional-Data-Engineer인증자료덤프를 주문하여 가장 빠른 시일내에 덤프를 마스터하여 시험을 패스하는것입니다. Google Professional-Data-Engineer인증자료 인증시험은 최근 가장 핫한 시험입니다.

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