Professional-Data-Engineer関連復習問題集 資格取得

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Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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: 2
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: 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 are building a model to make clothing recommendations. You know a user's fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available.
How should you use this data to train the model?
A. Continuously retrain the model on just the new data.
B. Continuously retrain the model on a combination of existing data and the new data.
C. Train on the new data while using the existing data as your test set.
D. Train on the existing data while using the new data as your test set.
Answer: C

PDF版のGoogle Professional-Data-Engineer問題集は印刷されることができ、ソフト版のGoogle Professional-Data-Engineer問題集はいくつかのパソコンでも使われることもでき、オンライン版の問題集はパソコンでもスマホでも直接に使われることができます。 GoogleのAmazon SOA-C02の購入の前にあなたの無料の試しから、購入の後での一年間の無料更新まで我々はあなたのGoogleのAmazon SOA-C02試験に一番信頼できるヘルプを提供します。 業界で有名なGoogle EMC DEA-7TT2問題集販売会社として、購入意向があると、我々の商品を選んでくださいませんか。 SAP C_C4H63_2411 - 社会と経済の発展につれて、多くの人はIT技術を勉強します。 だから、我々社のGoogle Microsoft MB-230J問題集のさまざまなバージョンを安心に購買できます。

Updated: May 27, 2022

Professional-Data-Engineer関連復習問題集 & Professional-Data-Engineer基礎問題集 - Google Professional-Data-Engineerシュミレーション問題集

PDF問題と解答

試験コード:Professional-Data-Engineer
試験名称:Google Certified Professional Data Engineer Exam
最近更新時間:2024-12-02
問題と解答:全 375
Google Professional-Data-Engineer 受験内容

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模擬試験

試験コード:Professional-Data-Engineer
試験名称:Google Certified Professional Data Engineer Exam
最近更新時間:2024-12-02
問題と解答:全 375
Google Professional-Data-Engineer 参考書

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オンライン版

試験コード:Professional-Data-Engineer
試験名称:Google Certified Professional Data Engineer Exam
最近更新時間:2024-12-02
問題と解答:全 375
Google Professional-Data-Engineer 日本語認定

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Professional-Data-Engineer 復習問題集