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Professional-Data-Engineer日本語版 & Google Certified Professional-Data-Engineer Examテストサンプル問題 - Royalholidayclubbed
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Google Cloud Certified Professional-Data-Engineer まだ何を待っているのでしょうか？
Royalholidayclubbedが提供したGoogleのProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam日本語版トレーニング資料を利用したら、GoogleのProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam日本語版認定試験に受かることはたやすくなります。 私たちは君がRoyalholidayclubbedを選ぶことと正確性の高いGoogleのProfessional-Data-Engineer 的中率問題集を祝っています。RoyalholidayclubbedのGoogleのProfessional-Data-Engineer 的中率問題集が君の認定試験に合格するのに大変役に立ちます。
RoyalholidayclubbedのGoogleのProfessional-Data-Engineer日本語版試験トレーニング資料はインターネットでの全てのトレーニング資料のリーダーです。Royalholidayclubbedはあなたが首尾よく試験に合格することを助けるだけでなく、あなたの知識と技能を向上させることもできます。あなたが自分のキャリアでの異なる条件で自身の利点を発揮することを助けられます。
その中で、Google Professional-Data-Engineer日本語版認定試験は最も重要な一つです。
我々は多くの受験生にGoogleのProfessional-Data-Engineer日本語版試験に合格させたことに自慢したことがないのです。IT業界での競争が激しいですから、我々は発展のために改善し続けなければなりません。だから、我々の専門家たちはタイムリーにGoogleのProfessional-Data-Engineer日本語版資料を更新していて、我々の商品を利用している受験生にGoogleのProfessional-Data-Engineer日本語版試験の変革とともに進めさせます。
早速買いに行きましょう。RoyalholidayclubbedのGoogleのProfessional-Data-Engineer日本語版試験トレーニング資料を使ったら、君のGoogleのProfessional-Data-Engineer日本語版認定試験に合格するという夢が叶えます。
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
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: 3
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: 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 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
我々Oracle 1z0-1110-25試験真題を暗記すれば、あなたはこの試験にパースすることができます。 RoyalholidayclubbedのGoogleのISTQB CTAL-TM_001-KR試験トレーニング資料はGoogleのISTQB CTAL-TM_001-KR認定試験を準備するのリーダーです。 短時間でSAP C_BCSBS_2502試験に一発合格したいなら、我々社のGoogleのSAP C_BCSBS_2502資料を参考しましょう。 もちろん、我々はあなたに一番安心させるのは我々の開発する多くの受験生に合格させるGoogleのMicrosoft SC-200試験のソフトウェアです。 あなたの資料を探す時間を節約し、Google Amazon DVA-C02-KR試験の復習をやっています。
Updated: May 27, 2022
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