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Google Cloud Certified Professional-Data-Engineer もし失敗だったら、我々は全額で返金します。
そのデモはProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam独学書籍試験資料の一部を含めています。 人生には様々な選択があります。選択は必ずしも絶対な幸福をもたらさないかもしれませんが、あなたに変化のチャンスを与えます。
GoogleのProfessional-Data-Engineer独学書籍の認定試験に合格すれば、就職機会が多くなります。Goldmile-InfobizはGoogleのProfessional-Data-Engineer独学書籍の認定試験の受験生にとっても適合するサイトで、受験生に試験に関する情報を提供するだけでなく、試験の問題と解答をはっきり解説いたします。
現在でGoogleのGoogle Professional-Data-Engineer独学書籍試験を受かることができます。
IT業界での競争がますます激しくなるうちに、あなたの能力をどのように証明しますか。GoogleのProfessional-Data-Engineer独学書籍試験に合格するのは説得力を持っています。我々ができるのはあなたにより速くGoogleのProfessional-Data-Engineer独学書籍試験に合格させます。数年間の発展で我々Goldmile-Infobizはもっと多くの資源と経験を得ています。改善されているソフトはあなたのGoogleのProfessional-Data-Engineer独学書籍試験の復習の効率を高めることができます。
この認証は自分のキャリアを強化することができ、自分が成功に近づかせますから。GoogleのProfessional-Data-Engineer独学書籍試験と言ったら、Goldmile-Infobiz のGoogleのProfessional-Data-Engineer独学書籍試験トレーニング資料はずっとほかのサイトを先んじているのは、Goldmile-Infobiz にはIT領域のエリートが組み立てられた強い団体がありますから。
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 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: 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
それでは、Microsoft AZ-305試験に参加しよう人々は弊社Goldmile-InfobizのMicrosoft AZ-305問題集を選らんで勉強して、一発合格して、GoogleIT資格証明書を受け取れます。 Cisco 300-415 - Goldmile-Infobizのウェブサイトをクリックしたら、Goldmile-Infobizに登録した人々が非常にたくさんいることに驚いたでしょう。 Microsoft PL-400-KR - 」と感謝します。 EMC D-PCR-DY-01 - それはあなたがいつでも最新の試験資料を持てるということです。 有効的なGoogle ITIL ITIL-4-Specialist-Create-Deliver-and-Support-JPN認定資格試験問題集を見つけられるのは資格試験にとって重要なのです。
Updated: May 27, 2022