チャンスはいつも準備ができている人に賦与されると言われます。あなたはこのチャンスを早めに捉えて、我々社のGoogleのProfessional-Data-Engineer対策学習練習問題を通して、仕事に不可欠なProfessional-Data-Engineer対策学習試験資格認証書を取得しなければなりません。我が社Goldmile-InfobizのProfessional-Data-Engineer対策学習問題集と我々のサービスに関して、弊社は誠実かつ信頼できる会社ですから、心配しなくて購買できます。 テストの時に有効なツルが必要でございます。Goldmile-Infobizを選択したら、成功が遠くではありません。 我々にとって、Google Professional-Data-Engineer対策学習試験に参加する圧力を減らして備考効率を高めるのは大変名誉のことです。
Google Cloud Certified Professional-Data-Engineer ショートカットは一つしかないです。
Google Cloud Certified Professional-Data-Engineer対策学習 - Google Certified Professional Data Engineer Exam Goldmile-Infobizはまた一年間に無料なサービスを更新いたします。 もしGoldmile-InfobizのProfessional-Data-Engineer 試験番号問題集を利用してからやはりProfessional-Data-Engineer 試験番号認定試験に失敗すれば、あなたは問題集を購入する費用を全部取り返すことができます。これはまさにGoldmile-Infobizが受験生の皆さんに与えるコミットメントです。
Goldmile-Infobizは受験者に向かって試験について問題を解決する受験資源を提供するサービスのサイトで、さまざまな受験生によって別のトレーニングコースを提供いたします。受験者はGoldmile-Infobizを通って順調に試験に合格する人がとても多くなのでGoldmile-InfobizがIT業界の中で高い名声を得ました。
Google Professional-Data-Engineer対策学習 - 我々Goldmile-Infobizはこの3つを提供します。
Goldmile-Infobiz のGoogleのProfessional-Data-Engineer対策学習問題集はシラバスに従って、それにProfessional-Data-Engineer対策学習認定試験の実際に従って、あなたがもっとも短い時間で最高かつ最新の情報をもらえるように、弊社はトレーニング資料を常にアップグレードしています。弊社のProfessional-Data-Engineer対策学習のトレーニング資料を買ったら、一年間の無料更新サービスを差し上げます。もっと長い時間をもらって試験を準備したいのなら、あなたがいつでもサブスクリプションの期間を伸びることができます。
世界は変化している、我々はできるだけそのペースを維持する必要があります。我々Goldmile-InfobizはGoogleのProfessional-Data-Engineer対策学習試験の変化を注目しています。
Professional-Data-Engineer PDF DEMO:
QUESTION NO: 1
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: 2
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: 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
速く最新のGoldmile-InfobizのGoogleのMicrosoft MS-900トレーニング資料を取りに行きましょう。 GoogleのHP HPE0-S59-JPN資格認定証明書を持つ人は会社のリーダーからご格別のお引き立てを賜ったり、仕事の昇進をたやすくなったりしています。 Goldmile-Infobiz が提供したGoogleのSAP C-BCBTM-2502問題集は実践の検査に合格したもので、最も良い品質であなたがGoogleのSAP C-BCBTM-2502認定試験に合格することを保証します。 弊社のAmazon CLF-C02-KRソフト版問題集はかねてより多くのIT事業をしている人々は順調にGoogle Amazon CLF-C02-KR資格認定を取得させます。 Microsoft PL-400J - ここで成功へのショートカットを教えてあげます。
Updated: May 27, 2022