Goldmile-InfobizのProfessional-Data-Engineer最新受験攻略試験参考書できっとあなたが望ましい成功を取られます。Goldmile-InfobizのProfessional-Data-Engineer最新受験攻略問題集を利用してみたらどうですか。この問題集は最近更新されたもので、実際試験で出題される可能性がある問題をすべて含んでいて、あなたが一回で成功することを保証できますから。 弊社が提供した問題集がほかのインターネットに比べて問題のカーバ範囲がもっと広くて対応性が強い長所があります。Goldmile-Infobizが持つべきなIT問題集を提供するサイトでございます。 それは十年過ぎのIT認証経験を持っています。
Google Cloud Certified Professional-Data-Engineer 資料の整理に悩んでいますか。
Google Cloud Certified Professional-Data-Engineer最新受験攻略 - Google Certified Professional Data Engineer Exam Goldmile-Infobizのトレーニング資料は実践の検証に合格すたもので、多くの受験生に証明された１００パーセントの成功率を持っている資料です。 我々はGoogleのProfessional-Data-Engineer 合格体験談試験のソフトだけでなく、各方面のアフターサービスの上で尽力します。成功の喜びは大きいです。
成功の楽園にどうやって行きますか。ショートカットは一つしかないです。それはGoldmile-InfobizのGoogleのProfessional-Data-Engineer最新受験攻略試験トレーニング資料を利用することです。
Google Professional-Data-Engineer最新受験攻略 - 自分の幸せは自分で作るものだと思われます。
Goldmile-Infobizは長年にわたってずっとIT認定試験に関連するProfessional-Data-Engineer最新受験攻略参考書を提供しています。これは受験生の皆さんに検証されたウェブサイトで、一番優秀な試験Professional-Data-Engineer最新受験攻略問題集を提供することができます。Goldmile-Infobizは全面的に受験生の利益を保証します。皆さんからいろいろな好評をもらいました。しかも、Goldmile-Infobizは当面の市場で皆さんが一番信頼できるサイトです。
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Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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
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
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: 4
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: 5
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
うちのGoogleのISACA CRISC問題集を購入したら、私たちは一年間で無料更新サービスを提供することができます。 Google Microsoft AZ-400J試験はIT業界での人にとって、とても重要な能力証明である一方で、大変難しいことです。 Goldmile-Infobizの GoogleのAppian ACD201試験トレーニング資料はGoldmile-Infobizの実力と豊富な経験を持っているIT専門家が研究したもので、本物のGoogleのAppian ACD201試験問題とほぼ同じです。 近年Google Salesforce Advanced-Administrator認定試験の難度で大方の受験生は試験に合格しなかったのに面して、勇者のようにこのチャレンジをやってますか。 SAP C-ARSUM-2508 - ふさわしい方式を選ぶのは一番重要なのです。
Updated: May 27, 2022