Goldmile-Infobizは多種なIT認証試験を受ける方を正確な資料を提供者でございます。弊社の無料なサンプルを遠慮なくダウンロードしてください。 多くの人にとって、短い時間でProfessional-Data-Engineer日本語版試験に合格できることは難しいです。しかし、幸いにして、Professional-Data-Engineer日本語版の練習問題の専門会社として、弊社の最も正確な質問と回答を含むProfessional-Data-Engineer日本語版試験の資料は、Professional-Data-Engineer日本語版試験対する問題を効果的に解決できます。 こうして、弊社の商品はどのくらいあなたの力になるのはよく分かっています。
Google Cloud Certified Professional-Data-Engineer それに、あなたに極大な便利と快適をもたらせます。
Google Cloud Certified Professional-Data-Engineer日本語版 - Google Certified Professional Data Engineer Exam IT認定試験を受ける受験生はほとんど仕事をしている人です。 Goldmile-Infobizのトレーニング資料は完全だけでなく、カバー率も高くて、高度なシミュレーションを持っているのです。これはさまざまな試験の実践の検査に合格したもので、GoogleのProfessional-Data-Engineer 関連受験参考書認定試験に合格したかったら、Goldmile-Infobizを選ぶのは絶対正しいことです。
Goldmile-InfobizのGoogleのProfessional-Data-Engineer日本語版試験トレーニング資料は必要とするすべての人に成功をもたらすことができます。GoogleのProfessional-Data-Engineer日本語版試験は挑戦がある認定試験です。現在、書籍の以外にインターネットは知識の宝庫として見られています。
Google Professional-Data-Engineer日本語版 - もちろんです。
全てのIT職員はGoogleのProfessional-Data-Engineer日本語版試験をよく知っています。これは一般的に認められている最高級の認証で、あなたのキャリアにヘルプを与えられます。あなたはその認証を持っているのですか。GoogleのProfessional-Data-Engineer日本語版試験は非常に難しい試験ですが、Goldmile-InfobizのGoogleのProfessional-Data-Engineer日本語版試験トレーニング資料を手に入れたら大丈夫です。試験が難しいと感じるのは良い方法を選択しないからです。Goldmile-Infobizを選んだら、成功の手を握ることがきるようになります。
もっと大切なのは、あなたもより多くの仕事のスキルをマスターしたことを証明することができます。では、はやくGoogleのProfessional-Data-Engineer日本語版認定試験を受験しましょう。
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
Fortinet FCP_FSM_AN-7.2 - あなた準備しましたか。 ICF ICF-ACC - 信じられなら利用してみてください。 Microsoft PL-400-KR - では、早くGoldmile-Infobizのサイトをクリックして問題集を購入しましょう。 そのMicrosoft MS-700-KR参考資料はIT認定試験の準備に使用することができるだけでなく、自分のスキルを向上させるためのツールとして使えることもできます。 Microsoft DP-900J - 一体どうしたらでしょうか。
Updated: May 27, 2022