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Google Cloud Certified Professional-Data-Engineer Goldmile-Infobizは全面的に受験生の利益を保証します。
Google Cloud Certified Professional-Data-Engineer資格専門知識 - Google Certified Professional Data Engineer Exam Goldmile-Infobizはもっぱら認定試験に参加するIT業界の専門の人士になりたい方のために模擬試験の練習問題と解答を提供した評判の高いサイトでございます。 Goldmile-InfobizのGoogleのProfessional-Data-Engineer 合格問題試験トレーニング資料は正確性が高くて、カバー率も広い。あなたがGoogleのProfessional-Data-Engineer 合格問題認定試験に合格するのに最も良くて、最も必要な学習教材です。
今の競争の激しいIT業界ではGoogleのProfessional-Data-Engineer資格専門知識試験にパスした方はメリットがおおくなります。給料もほかの人と比べて高くて仕事の内容も豊富です。でも、この試験はそれほど簡単ではありません。
Google Professional-Data-Engineer資格専門知識 - ふさわしい方式を選ぶのは一番重要なのです。
Goldmile-Infobizの経験豊富な専門家チームはGoogleのProfessional-Data-Engineer資格専門知識認定試験に向かって専門性の問題集を作って、とても受験生に合っています。Goldmile-Infobizの商品はIT業界中で高品質で低価格で君の試験のために専門に研究したものでございます。
世界は変化している、我々はできるだけそのペースを維持する必要があります。我々Goldmile-InfobizはGoogleのProfessional-Data-Engineer資格専門知識試験の変化を注目しています。
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 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 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: 4
Your startup has never implemented a formal security policy. Currently, everyone in the company has access to the datasets stored in Google BigQuery. Teams have freedom to use the service as they see fit, and they have not documented their use cases. You have been asked to secure the data warehouse. You need to discover what everyone is doing. What should you do first?
A. Use the Google Cloud Billing API to see what account the warehouse is being billed to.
B. Use Stackdriver Monitoring to see the usage of BigQuery query slots.
C. Get the identity and access management IIAM) policy of each table
D. Use Google Stackdriver Audit Logs to review data access.
Answer: B
QUESTION NO: 5
You are designing the database schema for a machine learning-based food ordering service that will predict what users want to eat. Here is some of the information you need to store:
* The user profile: What the user likes and doesn't like to eat
* The user account information: Name, address, preferred meal times
* The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to optimize the data schema. Which Google Cloud Platform product should you use?
A. BigQuery
B. Cloud Datastore
C. Cloud SQL
D. Cloud Bigtable
Answer: A
ISACA CRISC-JPNはGoogleの一つ重要な認証試験で多くのIT専門スタッフが認証される重要な試験です。 弊社のGoogleのCompTIA 220-1102真題によって、資格認定証明書を受け取れて、仕事の昇進を実現できます。 Cisco 200-201 - Goldmile-Infobizは同じ作用がある多くのサイトでリーダーとしているサイトで、最も良い品質と最新のトレーニング資料を提供しています。 弊社のGoogle Associate-Cloud-Engineer-JPNソフト版問題集はかねてより多くのIT事業をしている人々は順調にGoogle Google Associate-Cloud-Engineer-JPN資格認定を取得させます。 Salesforce Plat-101 - Goldmile-Infobizは事実を通じて話しますから、奇跡が現れるときに我々が言ったすべての言葉を証明できます。
Updated: May 27, 2022