それがもう現代生活の不可欠な一部となりました。その中で、Googleの認証資格は広範な国際的な認可を得ました。ですから、IT業界で仕事している皆さんはGoogleの認定試験を受験して資格を取得することを通して、彼らの知識やスキルを向上させます。 GoogleのProfessional-Data-Engineer最新な問題集認定試験に受かるのはあなたの技能を検証することだけでなく、あなたの専門知識を証明できて、上司は無駄にあなたを雇うことはしないことの証明書です。当面、IT業界でGoogleのProfessional-Data-Engineer最新な問題集認定試験の信頼できるソースが必要です。 試験に合格する秘密を見つけましたか。
Google Cloud Certified Professional-Data-Engineer この世界は毎日変わっています。
Google Cloud Certified Professional-Data-Engineer最新な問題集 - Google Certified Professional Data Engineer Exam Omgzlookはきみの貴重な時間を節約するだけでなく、 安心で順調に試験に合格するのを保証します。 OmgzlookにIT業界のエリートのグループがあって、彼達は自分の経験と専門知識を使ってGoogle Professional-Data-Engineer 勉強資料認証試験に参加する方に対して問題集を研究続けています。
Omgzlook 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、Omgzlookが全額で返金いたします。
Google Professional-Data-Engineer最新な問題集 - 暇の時間を利用して勉強します。
時間とお金の集まりより正しい方法がもっと大切です。GoogleのProfessional-Data-Engineer最新な問題集試験のために勉強していますなら、Omgzlookの提供するGoogleのProfessional-Data-Engineer最新な問題集試験ソフトはあなたの選びの最高です。我々の目的はあなたにGoogleのProfessional-Data-Engineer最新な問題集試験に合格することだけです。試験に失敗したら、弊社は全額で返金します。我々の誠意を信じてください。あなたが順調に試験に合格するように。
多分、Professional-Data-Engineer最新な問題集テスト質問の数が伝統的な問題の数倍である。Google Professional-Data-Engineer最新な問題集試験参考書は全ての知識を含めて、全面的です。
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 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: 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
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
我々のソフトは多くの受験生にGoogleのCompTIA 220-1102J試験に合格させました。 GoogleのCisco 820-605の認定試験に合格すれば、就職機会が多くなります。 Microsoft PL-100 - 我々のデモを無料でやってみよう。 SAP C-S4CPR-2402 - あなたの全部な需要を満たすためにいつも頑張ります。 あなたに相応しいSAP C_S43_2022問題集を購入できさせるには、Googleは問題集の見本を無料に提供し、あなたはダウンロードしてやることができます。
Updated: May 27, 2022