Google Professional-Data-Engineer학습자료 덤프에 대한 자신감이 어디서 시작된것이냐고 물으신다면Google Professional-Data-Engineer학습자료덤프를 구매하여 시험을 패스한 분들의 희소식에서 온다고 답해드리고 싶습니다. 저희Google Professional-Data-Engineer학습자료덤프는 자주 업데이트되고 오래된 문제는 바로 삭제해버리고 최신 문제들을 추가하여 고객님께 가장 정확한 덤프를 제공해드릴수 있도록 하고 있습니다. 많은 시간과 돈이 필요 없습니다. 30분이란 특별학습가이드로 여러분은Google Professional-Data-Engineer학습자료인증시험을 한번에 통과할 수 있습니다, Goldmile-Infobiz에서Google Professional-Data-Engineer학습자료시험자료의 문제와 답이 실제시험의 문제와 답과 아주 비슷한 덤프만 제공합니다. 우리는 고객이 첫 번째 시도에서Google Professional-Data-Engineer학습자료 자격증시험을 합격할수있다는 것을 약속드립니다.
Google Cloud Certified Professional-Data-Engineer 환불해드린후에는 무료업데이트 서비스가 종료됩니다.
보통은Google인증Professional-Data-Engineer - Google Certified Professional Data Engineer Exam학습자료시험을 넘기 위해서는 많은 시간과 신경이 필요합니다. Goldmile-Infobiz에서 Google Professional-Data-Engineer 최신기출자료 덤프를 다운받아 공부하시면 가장 적은 시간만 투자해도Google Professional-Data-Engineer 최신기출자료시험패스하실수 있습니다. Goldmile-Infobiz에서Google Professional-Data-Engineer 최신기출자료시험덤프를 구입하시면 퍼펙트한 구매후 서비스를 제공해드립니다.
Goldmile-Infobiz에서 제공해드리는Google 인증 Professional-Data-Engineer학습자료시험대비 덤프는 덤프제공사이트에서 가장 최신버전이여서 시험패스는 한방에 갑니다. Google 인증 Professional-Data-Engineer학습자료시험뿐만 아니라 IT인증시험에 관한 모든 시험에 대비한 덤프를 제공해드립니다. 많은 애용 바랍니다.
우리의Google Google Professional-Data-Engineer학습자료자료로 자신만만한 시험 준비하시기를 바랍니다.
Google인증 Professional-Data-Engineer학습자료시험은 인기있는 IT자격증을 취득하는데 필요한 국제적으로 인정받는 시험과목입니다. Google인증 Professional-Data-Engineer학습자료시험을 패스하려면 Goldmile-Infobiz의Google인증 Professional-Data-Engineer학습자료덤프로 시험준비공부를 하는게 제일 좋은 방법입니다. Goldmile-Infobiz덤프는 IT전문가들이 최선을 다해 연구해낸 멋진 작품입니다. Google인증 Professional-Data-Engineer학습자료덤프구매후 업데이트될시 업데이트버전을 무료서비스료 제공해드립니다.
우리Goldmile-Infobiz에서는 끊임없는 업데이트로 항상 최신버전의Google인증Professional-Data-Engineer학습자료시험덤프를 제공하는 사이트입니다, 만약 덤프품질은 알아보고 싶다면 우리Goldmile-Infobiz 에서 무료로 제공되는 덤프일부분의 문제와 답을 체험하시면 되겠습니다, Goldmile-Infobiz 는 100%의 보장 도를 자랑하며Professional-Data-Engineer학습자료시험은 한번에 패스할 수 있는 덤프입니다.
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
Goldmile-Infobiz에서 출시한 Google인증 Fortinet NSE7_OTS-7.2덤프는 IT인사들이 자격증 취득의 험난한 길에서 없어서는 안될중요한 존재입니다. 그래야 여러분은 빨리 한번에Google인증Salesforce Advanced-Administrator시험을 패스하실 수 있습니다.Google인증Salesforce Advanced-Administrator관련 최고의 자료는 현재까지는Goldmile-Infobiz덤프가 최고라고 자신 있습니다. 시험문제가 변경되면 업데이트 하도록 최선을 다하기에Goldmile-Infobiz의 Google인증 WGU Managing-Cloud-Security덤프의 유효기간을 연장시켜드리는 셈입니다.퍼펙트한 구매후는 서비스는Goldmile-Infobiz의 Google인증 WGU Managing-Cloud-Security덤프를 구매하시면 받을수 있습니다. 우리Goldmile-Infobiz 사이트에Google Microsoft AZ-305-KR관련자료의 일부 문제와 답 등 문제들을 제공함으로 여러분은 무료로 다운받아 체험해보실 수 있습니다. Microsoft DP-300-KR - Goldmile-Infobiz에서는 IT인증시험에 대비한 모든 덤프자료를 제공해드립니다.
Updated: May 27, 2022