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IT業界の中でたくさんの野心的な専門家がいって、IT業界の中でより一層頂上まで一歩更に近く立ちたくてGoogleのProfessional-Data-Engineer対応問題集試験に参加して認可を得たくて、Google のProfessional-Data-Engineer対応問題集試験が難度の高いので合格率も比較的低いです。Royalholidayclubbedの商品は試験問題を広くカーバして、認証試験の受験生が便利を提供し、しかも正確率100%です。そして、試験を安心に参加してください。 正しい方法は大切です。我々Royalholidayclubbedは一番効果的な方法を探してあなたにGoogleのProfessional-Data-Engineer対応問題集試験に合格させます。 弊社のProfessional-Data-Engineer対応問題集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。
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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
そして、AVIXA CTS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。 確かに、Google Professional-Cloud-DevOps-Engineer-JPN認定試験に合格することは困難なことです。 GoogleのRedHat EX188の認定試験に合格すれば、就職機会が多くなります。 RoyalholidayclubbedのATLASSIAN ACP-620-KR問題集を利用してから、一回で試験に合格することができるだけでなく、試験に必要な技能を身につけることもできます。 ISTQB CTAL-TM - あなたの全部な需要を満たすためにいつも頑張ります。
Updated: May 27, 2022
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