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Google Cloud Certified Professional-Data-Engineer それも我々が全てのお客様に対する約束です。

ShobhadoshiのProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam専門トレーリング問題集は多くの受験生に検証されたものですから、高い成功率を保証できます。 Shobhadoshiが提供したGoogleのProfessional-Data-Engineer 問題トレーリング「Google Certified Professional Data Engineer Exam」試験トレーニング資料はあなたが試験に合格することを助けられます。Shobhadoshiのトレーニング資料は大勢な受験生に証明されたもので、国際的に他のサイトをずっと先んじています。

ShobhadoshiのITエリートたちは彼らの専門的な目で、最新的なGoogleのProfessional-Data-Engineer専門トレーリング試験トレーニング資料に注目していて、うちのGoogleのProfessional-Data-Engineer専門トレーリング問題集の高い正確性を保証するのです。もし君はいささかな心配することがあるなら、あなたはうちの商品を購入する前に、Shobhadoshiは無料でサンプルを提供することができます。なぜ受験生のほとんどはShobhadoshiを選んだのですか。

Google Professional-Data-Engineer専門トレーリング - その夢は私にとってはるか遠いです。

常々、時間とお金ばかり効果がないです。正しい方法は大切です。我々Shobhadoshiは一番効果的な方法を探してあなたにGoogleのProfessional-Data-Engineer専門トレーリング試験に合格させます。弊社のGoogleのProfessional-Data-Engineer専門トレーリングソフトを購入するのを決めるとき、我々は各方面であなたに保障を提供します。購入した前の無料の試み、購入するときのお支払いへの保障、購入した一年間の無料更新GoogleのProfessional-Data-Engineer専門トレーリング試験に失敗した全額での返金…これらは我々のお客様への承諾です。

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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
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: 4
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

QUESTION NO: 5
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

試験が更新されているうちに、我々はGoogleのCisco 350-401試験の資料を更新し続けています。 PMI PMI-ACP-JPN - いつでもどこでも問題を学ぶことができるために、あなたはPDF版の問題集をダウンロードしてプリントアウトすることができます。 Salesforce Service-Cloud-Consultant-JPN - 自分の幸せは自分で作るものだと思われます。 Salesforce PDI - この問題集を利用したら、あなたは試験に準備する時間を節約することができるだけでなく、試験で楽に高い点数を取ることもできます。 あなたは弊社の高品質Google　ISC CC-JPN試験資料を利用して、一回に試験に合格します。

Updated: May 27, 2022