IT職員のキャリアと関連しますから。GoogleのProfessional-Data-Engineer教育資料試験トレーニング資料は受験生の皆さんが必要とした勉強資料です。Goldmile-Infobizのトレーニング資料は受験生が一番ほしい唯一なトレーニング資料です。 無事試験に合格しました。Goldmile-Infobizから大変助かりました。 GoogleのProfessional-Data-Engineer教育資料認定試験は最近最も人気のある試験ですから、受験したいのですか。
Professional-Data-Engineer教育資料試験は難しいです。
Google Cloud Certified Professional-Data-Engineer教育資料 - Google Certified Professional Data Engineer Exam きっとそれを望んでいるでしょう。 Google Professional-Data-Engineer 日本語版受験参考書試験の合格のために、Goldmile-Infobizを選択してください。Goldmile-InfobizはGoogleのProfessional-Data-Engineer 日本語版受験参考書「Google Certified Professional Data Engineer Exam」試験に関する完全な資料を唯一のサービスを提供するサイトでございます。
もし私たちのGoogleのProfessional-Data-Engineer教育資料問題集を購入したら、Goldmile-Infobizは一年間無料で更新サービスを提供することができます。Goldmile-InfobizのGoogleのProfessional-Data-Engineer教育資料の試験問題と解答は実践されて、当面の市場で最も徹底的な正確的な最新的な模擬テストです。Goldmile-Infobizは広い研究と実際を基づいている経験及び正確的な学習教材を提供できます。
Google Professional-Data-Engineer教育資料 - Goldmile-Infobizを選んだ方が良いです。
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。
あなたはGoldmile-Infobizの学習教材を購入した後、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。Goldmile-InfobizのGoogleのProfessional-Data-Engineer教育資料試験トレーニング資料はGoogleのProfessional-Data-Engineer教育資料認定試験を準備するのリーダーです。
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
SAP C-BCWME-2504 - テストの時に有効なツルが必要でございます。 Microsoft AZ-305J - オンライン係員は全日であなたにサービスを提供します。 CISI UAE-Financial-Rules-and-Regulations - Goldmile-Infobizはあなたが自分の目標を達成することにヘルプを差し上げられます。 資料への改善を通して、我々のチームは我々のGoogleのAmazon SAA-C03-JPN試験資料があなたを喜ばせるのを自信で話せます。 Salesforce Advanced-Administrator-JPN - IT認証試験に合格したい受験生の皆さんはきっと試験の準備をするために大変悩んでいるでしょう。
Updated: May 27, 2022