IT業界で働いているあなたにとってのGoogleのProfessional-Data-Engineer合格率試験の重要性を知っていますから、我々はあなたを助けられるGoogleのProfessional-Data-Engineer合格率ソフトを開発しました。我々はあなたにすべての資料を探して科学的に分析しました。これらをするのはあなたのGoogleのProfessional-Data-Engineer合格率試験を準備する圧力を減少するためです。 もちろん、我々はあなたに一番安心させるのは我々の開発する多くの受験生に合格させるGoogleのProfessional-Data-Engineer合格率試験のソフトウェアです。我々はあなたに提供するのは最新で一番全面的なGoogleのProfessional-Data-Engineer合格率問題集で、最も安全な購入保障で、最もタイムリーなGoogleのProfessional-Data-Engineer合格率試験のソフトウェアの更新です。 PDF版のProfessional-Data-Engineer合格率問題集は印刷されることができ、ソフト版のProfessional-Data-Engineer合格率問題集はいくつかのパソコンでも使われることもでき、オンライン版の問題集はパソコンでもスマホでも直接に使われることができます。
Professional-Data-Engineer合格率資料は素晴らしいものです。
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こうして、君は安心で試験の準備を行ってください。弊社の資料を使って、１００％に合格を保証いたします。もし合格しないと、われは全額で返金いたします。
Google Professional-Data-Engineer合格率 - 成功を祈ります。
Omgzlookは実際の環境で本格的なGoogleのProfessional-Data-Engineer合格率「Google Certified Professional Data Engineer Exam」の試験の準備過程を提供しています。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合格率「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。試験問題と解答に関する質問があるなら、当社は直後に解決方法を差し上げます。しかも、一年間の無料更新サービスを提供します。
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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 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: 3
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: 4
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: 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
OmgzlookのGoogleのGoogle Cloud-Digital-Leader試験問題資料は質が良くて値段が安い製品です。 Amazon DOP-C02 - この試験に合格することがたやすいことではないですから、適切なショートカットを選択するのは成功することの必要です。 GoogleのMicrosoft MS-102認定試験は実は技術専門家を認証する試験です。 Dell D-DLM-A-01 - Omgzlookの仮想ネットワークトレーニングと授業は大量の問題集に含まれていますから、ぜひあなたが気楽に試験に合格することを約束します。 Splunk SPLK-2003 - それはあなたが夢を実現することを助けられます。
Updated: May 27, 2022