あなたに高品質で、全面的なProfessional-Data-Engineer関連日本語内容参考資料を提供することは私たちの責任です。私たちより、Professional-Data-Engineer関連日本語内容試験を知る人はいません。あなたはProfessional-Data-Engineer関連日本語内容試験に不安を持っていますか?Professional-Data-Engineer関連日本語内容参考資料をご覧下さい。 この資料はOmgzlookのIT専門家たちに特別に研究されたものです。彼らの成果はあなたが試験に合格することを助けるだけでなく、あなたにもっと美しい明日を与えることもできます。 弊社の商品が好きなのは弊社のたのしいです。
Google Cloud Certified Professional-Data-Engineer Omgzlookを選んだら、成功への扉を開きます。
Google Cloud Certified Professional-Data-Engineer関連日本語内容 - Google Certified Professional Data Engineer Exam あなたは我々のソフトのメリットを感じられると希望します。 それに、Omgzlookの教材を購入すれば、Omgzlookは一年間の無料アップデート・サービスを提供してあげます。問題が更新される限り、Omgzlookは直ちに最新版のProfessional-Data-Engineer 最新テスト資料を送ってあげます。
自分の幸せは自分で作るものだと思われます。ただ、社会に入るIT卒業生たちは自分能力の不足で、Professional-Data-Engineer関連日本語内容試験向けの仕事を探すのを悩んでいますか?それでは、弊社のGoogleのProfessional-Data-Engineer関連日本語内容練習問題を選んで実用能力を速く高め、自分を充実させます。その結果、自信になる自己は面接のときに、面接官のいろいろな質問を気軽に回答できて、順調にProfessional-Data-Engineer関連日本語内容向けの会社に入ります。
Google Professional-Data-Engineer関連日本語内容 - 自分の幸せは自分で作るものだと思われます。
OmgzlookはきみのIT夢に向かって力になりますよ。GoogleのProfessional-Data-Engineer関連日本語内容の認証そんなに人気があって、Omgzlookも君の試験に合格するために全力で助けてあげて、またあなたを一年の無料なサービスの更新を提供します。明日の成功のためにOmgzlookを選らばましょう。
あなたは弊社の高品質Google Professional-Data-Engineer関連日本語内容試験資料を利用して、一回に試験に合格します。OmgzlookのGoogle Professional-Data-Engineer関連日本語内容問題集は専門家たちが数年間で過去のデータから分析して作成されて、試験にカバーする範囲は広くて、受験生の皆様のお金と時間を節約します。
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
それほかに品質はもっと高くてGoogleのMicrosoft PL-300-KR認定試験「Google Certified Professional Data Engineer Exam」の受験生が最良の選択であり、成功の最高の保障でございます。 Cisco CCST-Networking-JPN - IT職員のあなたは毎月毎月のあまり少ない給料を持っていますが、暇の時間でひたすら楽しむんでいいですか。 Cisco 700-805J - Omgzlookが短期な訓練を提供し、一回に君の試験に合格させることができます。 そして、Microsoft MS-700-KR試験参考書の問題は本当の試験問題とだいたい同じことであるとわかります。 Microsoft PL-300-KR - 君の夢は1歩更に近くなります。
Updated: May 27, 2022