Omgzlookの専門家チームがGoogleのProfessional-Data-Engineer対策学習認定試験に彼らの自分の経験と知識を利用して絶えなく研究し続けています。Omgzlookが提供したGoogleのProfessional-Data-Engineer対策学習試験問題と解答が真実の試験の練習問題と解答は最高の相似性があり、一年の無料オンラインの更新のサービスがあり、100%のパス率を保証して、もし試験に合格しないと、弊社は全額で返金いたします。 人によって目標が違いますが、あなたにGoogle Professional-Data-Engineer対策学習試験に順調に合格できるのは我々の共同の目標です。この目標の達成はあなたがIT技術領域へ行く更なる発展の一歩ですけど、我々社Omgzlook存在するこそすべての意義です。 もしあなたは初心者若しくは専門的な技能を高めたかったら、OmgzlookのGoogleのProfessional-Data-Engineer対策学習「Google Certified Professional Data Engineer Exam」の試験問題があなたが一歩一歩自分の念願に近くために助けを差し上げます。
Google Cloud Certified Professional-Data-Engineer 早くOmgzlookの問題集を君の手に入れましょう。
早くOmgzlookのGoogleのProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam対策学習試験トレーニング資料を買いに行きましょう。 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Omgzlookを選択してください。Omgzlookはまた一年間に無料なサービスを更新いたします。
OmgzlookのGoogleのProfessional-Data-Engineer対策学習試験トレーニング資料はあなたが成功へのショートカットです。このトレーニング資料を持っていたら、成功への道を見つけます。GoogleのProfessional-Data-Engineer対策学習認定試験は全てのIT職員にとって大変重要な試験です。
Google Professional-Data-Engineer対策学習 - やってみて購入します。
常々、時間とお金ばかり効果がないです。正しい方法は大切です。我々Omgzlookは一番効果的な方法を探してあなたにGoogleのProfessional-Data-Engineer対策学習試験に合格させます。弊社のGoogleのProfessional-Data-Engineer対策学習ソフトを購入するのを決めるとき、我々は各方面であなたに保障を提供します。購入した前の無料の試み、購入するときのお支払いへの保障、購入した一年間の無料更新GoogleのProfessional-Data-Engineer対策学習試験に失敗した全額での返金…これらは我々のお客様への承諾です。
IT業界で発展したいなら、GoogleのProfessional-Data-Engineer対策学習試験のような国際的な試験に合格するのは重要です。我々OmgzlookはITエリートの皆さんの努力であなたにGoogleのProfessional-Data-Engineer対策学習試験に速く合格する方法を提供します。
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 2
You are building a model to make clothing recommendations. You know a user's fashion preference is likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available.
How should you use this data to train the model?
A. Continuously retrain the model on just the new data.
B. Continuously retrain the model on a combination of existing data and the new data.
C. Train on the new data while using the existing data as your test set.
D. Train on the existing data while using the new data as your test set.
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
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 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
Omgzlookは多くの受験生を助けて彼らにGoogleのEMC D-VXR-OE-23試験に合格させることができるのは我々専門的なチームがGoogleのEMC D-VXR-OE-23試験を研究して解答を詳しく分析しますから。 EMC D-PDD-OE-23 - それで、「就職難」の場合には、他の人々と比べて、あなたはずっと優位に立つことができます。 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CompTIA SY0-701-JPN向けの会社に入ります。 我々社のGoogle Cisco 300-815問題集を購入するかどうかと疑問があると、弊社OmgzlookのCisco 300-815問題集のサンプルをしてみるのもいいことです。 我々Fortinet FCP_FAC_AD-6.5問題集の通過率は高いので、90％の合格率を保証します。
Updated: May 27, 2022