Professional-Data-Engineer試験概要、Professional-Data-Engineer合格記 - Google Professional-Data-Engineerダウンロード - Goldmile-Infobiz

GoogleのProfessional-Data-Engineer試験概要ソフトを使用するすべての人を有効にするために最も快適なレビュープロセスを得ることができ、我々は、GoogleのProfessional-Data-Engineer試験概要の資料を提供し、PDF、オンラインバージョン、およびソフトバージョンを含んでいます。あなたの愛用する版を利用して、あなたは簡単に最短時間を使用してGoogleのProfessional-Data-Engineer試験概要試験に合格することができ、あなたのIT機能を最も権威の国際的な認識を得ます! あなたはうちのGoogleのProfessional-Data-Engineer試験概要問題集を購入する前に、一部分のフリーな試験問題と解答をダンロードして、試用してみることができます。ご利用によってで、うちのGoogleのProfessional-Data-Engineer試験概要問題集は正確性が高いです。 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。

Google Cloud Certified Professional-Data-Engineer 」と感謝します。

Google Cloud Certified Professional-Data-Engineer試験概要 - Google Certified Professional Data Engineer Exam 我々は弊社の商品を選ぶお客様に責任を持っています。 有効的なGoogle Professional-Data-Engineer 試験対応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。我々Goldmile-InfobizのGoogle Professional-Data-Engineer 試験対応試験問題と試験解答の正確さは、あなたの試験準備をより簡単にし、あなたが試験に高いポイントを得ることを保証します。

Goldmile-InfobizはGoogleのProfessional-Data-Engineer試験概要試験を長い時間で研究しますので、この試験を深く了解しています。我々提供するGoogleのProfessional-Data-Engineer試験概要ソフトであなたはきっと試験に合格できます。だれでも成功したいのです。

Google Professional-Data-Engineer試験概要 - 本当に助かりました。

他人の気付いていないときに、だんだんGoogleのProfessional-Data-Engineer試験概要試験成功したいのですか?我が社はIT資格認証試験資料の販売者として、いつまでもできご客様に相応しく信頼できるProfessional-Data-Engineer試験概要問題集を提供できます。あなたのすべての需要を満たすためには、一緒に努力します。躊躇われずに我々の模試験を利用してみてください。全力を尽くせば、Professional-Data-Engineer試験概要試験の合格も可能となります。

Goldmile-Infobizが提供した問題集を利用してGoogleのProfessional-Data-Engineer試験概要試験は全然問題にならなくて、高い点数で合格できます。Google Professional-Data-Engineer試験概要試験の合格のために、Goldmile-Infobizを選択してください。

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
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: 5
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

弊社Goldmile-InfobizはGoogleのEXIN CDCS問題集を購入し勉強した後、あなたはEXIN CDCS試験に合格することでできると信じています。 Amazon AWS-Certified-Developer-Associate-JP - 弊社の商品は試験の範囲を広くカバーすることが他のサイトがなかなか及ばならないです。 Google Huawei H19-338試験のための一切な需要を満足して努力します。 Huawei H19-495_V1.0 - 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。 有効的なGoogle EXIN CDCS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