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Professional-Data-Engineer模擬対策問題、Professional-Data-Engineer無料ダウンロード - Google Professional-Data-Engineer必殺問題集 - Royalholidayclubbed
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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模擬対策問題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模擬対策問題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模擬対策問題向けの会社に入ります。 明日の成功のためにRoyalholidayclubbedを選らばましょう。RoyalholidayclubbedはきみのIT夢に向かって力になりますよ。 RoyalholidayclubbedのGoogle Professional-Data-Engineer模擬対策問題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。
Google Cloud Certified Professional-Data-Engineer 暇の時間を利用して勉強します。
Google Cloud Certified Professional-Data-Engineer模擬対策問題 - Google Certified Professional Data Engineer Exam Royalholidayclubbed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、Professional-Data-Engineer 最新テスト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。Professional-Data-Engineer 最新テスト試験参考書があれば,ほかの試験参考書を勉強する必要がないです。
IT業界では関連の認証を持っているのは知識や経験の一つ証明でございます。Royalholidayclubbedが提供した問題集を使用してIT業界の頂点の第一歩としてとても重要な地位になります。君の夢は1歩更に近くなります。
Google Professional-Data-Engineer模擬対策問題 - きっと君に失望させないと信じています。
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Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 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 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: 4
For the best possible performance, what is the recommended zone for your Compute Engine instance and Cloud Bigtable instance?
A. Have both the Compute Engine instance and the Cloud Bigtable instance to be in different zones.
B. Have the Compute Engine instance in the furthest zone from the Cloud Bigtable instance.
C. Have the Cloud Bigtable instance to be in the same zone as all of the consumers of your data.
D. Have both the Compute Engine instance and the Cloud Bigtable instance to be in the same zone.
Answer: D
Explanation
It is recommended to create your Compute Engine instance in the same zone as your Cloud Bigtable instance for the best possible performance, If it's not possible to create a instance in the same zone, you should create your instance in another zone within the same region. For example, if your Cloud
Bigtable instance is located in us-central1-b, you could create your instance in us-central1-f. This change may result in several milliseconds of additional latency for each Cloud Bigtable request.
It is recommended to avoid creating your Compute Engine instance in a different region from your
Cloud Bigtable instance, which can add hundreds of milliseconds of latency to each Cloud Bigtable request.
Reference: https://cloud.google.com/bigtable/docs/creating-compute-instance
QUESTION NO: 5
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
Fortinet FCSS_SOC_AN-7.4 - 我々が決まったことを完璧に作るためにすべての不要な機会を諦めなければなりません。 Microsoft SC-300 - ためらわずに速くあなたのショッピングカートに入れてください。 GAQM CASPO-001 - 前へ何歩進んだら成功できます。 RoyalholidayclubbedのGoogleのPECB ISO-IEC-42001-Lead-Auditor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。 ATLASSIAN ACP-620 - 試験を目前に控えても、ちゃんと試験に準備するチャンスもあります。
Updated: May 27, 2022
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