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Professional-Data-Engineer受験資格 - Google Professional-Data-Engineer資格専門知識 & Google Certified Professional-Data-Engineer Exam - Royalholidayclubbed
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このほど、今のIT会社は多くのIT技術人材を急速に需要して、あなたはこのラッキーな人になりたいですか？GoogleのProfessional-Data-Engineer受験資格試験に参加するのはあなたに自身のレベルを高めさせるだけでなく、あなたがより良く就職し輝かしい未来を持っています。弊社RoyalholidayclubbedはGoogleのProfessional-Data-Engineer受験資格問題集を購入し勉強した後、あなたはProfessional-Data-Engineer受験資格試験に合格することでできると信じています。 Royalholidayclubbed を選択して１００％の合格率を確保することができて、もし試験に失敗したら、Royalholidayclubbedが全額で返金いたします。 一年間の無料更新と試験に合格しなくて全額返金も我々の誠のアフタサーブすでございます。
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有効的なGoogle Professional-Data-Engineer - Google Certified Professional Data Engineer Exam受験資格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。 君が後悔しないようにもっと少ないお金を使って大きな良い成果を取得するためにRoyalholidayclubbedを選択してください。Royalholidayclubbedはまた一年間に無料なサービスを更新いたします。
今まで、たくさんのお客様はGoogle Professional-Data-Engineer受験資格試験参考資料に満足しています。そのほかに、弊社は引き続くみんなに合理的な価格で高品質なProfessional-Data-Engineer受験資格参考資料を提供します。もちろん、いいサービスを提供し、Professional-Data-Engineer受験資格参考資料について、何か質問がありましたら、遠慮なく弊社と連絡します。
Google Professional-Data-Engineer受験資格 - Royalholidayclubbedには専門的なエリート団体があります。
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RoyalholidayclubbedのGoogleのProfessional-Data-Engineer受験資格試験トレーニング資料を手に入れたら、我々は一年間の無料更新サービスを提供します。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。
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 2
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: 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
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: 5
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
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Updated: May 27, 2022
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