많은 분들이 이렇게 좋은 인증시험은 아주 어렵다고 생각합니다. 네 많습니다. 패스할확율은 아주 낮습니다. Omgzlook에서 최고최신버전의Google인증Professional-Data-Engineer시험유효자료시험덤프 즉 문제와 답을 받으실 수 있습니다. 빨리 소지한다면 좋겠죠. 지금21세기 IT업계가 주목 받고 있는 시대에 그 경쟁 또한 상상할만하죠, 당연히 it업계 중Google Professional-Data-Engineer시험유효자료인증시험도 아주 인기가 많은 시험입니다.
Google Cloud Certified Professional-Data-Engineer Omgzlook는 여러분을 성공으로 가는 길에 도움을 드리는 사이트입니다.
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Omgzlook의 Google 인증 Professional-Data-Engineer시험유효자료시험덤프공부자료 출시 당시 저희는 이런 크나큰 인지도를 갖출수 있을지 생각도 못했었습니다. 저희를 믿어주시고 구매해주신 분께 너무나도 감사한 마음에 더욱 열심히 해나가자는 결심을 하였습니다. Google 인증 Professional-Data-Engineer시험유효자료덤프자료는Omgzlook의 전문가들이 최선을 다하여 갈고닦은 예술품과도 같습니다.100% 시험에서 패스하도록 저희는 항상 힘쓰고 있습니다.
Omgzlook의Google인증 Google Professional-Data-Engineer시험유효자료덤프를 구매하시면 밝은 미래가 보입니다.
Omgzlook에서는 가장 최신이자 최고인Google인증 Professional-Data-Engineer시험유효자료시험덤프를 제공해드려 여러분이 IT업계에서 더 순조롭게 나아가도록 최선을 다해드립니다. Google인증 Professional-Data-Engineer시험유효자료덤프는 최근 실제시험문제를 연구하여 제작한 제일 철저한 시험전 공부자료입니다. Google인증 Professional-Data-Engineer시험유효자료시험준비자료는 Omgzlook에서 마련하시면 기적같은 효과를 안겨드립니다.
회사일도 바쁜데 시험공부까지 스트레스가 장난아니게 싸이고 몸도 많이 상하겠죠. Omgzlook는 여러분을 위해 최신Google인증 Professional-Data-Engineer시험유효자료시험에 대비한Google인증 Professional-Data-Engineer시험유효자료덤프를 발췌하였습니다.
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
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: 3
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: 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
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Updated: May 27, 2022