Professional-Data-Engineer試験情報 - Google Certified Professional-Data-Engineer Exam日本語版試験解答 - Goldmile-Infobiz

これは完全に実際の試験雰囲気とフォーマットをシミュレートするソフトウェアですから。このソフトで、あなたは事前に実際の試験を感じることができます。そうすれば、実際のProfessional-Data-Engineer試験情報試験を受けるときに緊張をすることはないです。 そうしたら、Google Professional-Data-Engineer試験情報試験はそんなに簡単なことだと知られます。Google Professional-Data-Engineer試験情報試験を難しく感じる人に「やってもいないのに、できないと言わないこと」を言いたいです。 GoogleのProfessional-Data-Engineer試験情報の認証試験の高品質の資料を提供しているユニークなサイトはGoldmile-Infobizです。

その他、Professional-Data-Engineer試験情報問題集の更新版を無料に提供します。

Goldmile-Infobizは100%でGoogleのProfessional-Data-Engineer - Google Certified Professional Data Engineer Exam試験情報「Google Certified Professional Data Engineer Exam」認定試験に合格するのを保証いたします。 弊社のGoogleのProfessional-Data-Engineer コンポーネント練習問題を利用したら、あなたは気楽に勉強するだけではなく、順調に試験に合格します。多くの人々はGoogleのProfessional-Data-Engineer コンポーネント試験に合格できるのは難しいことであると思っています。

Goldmile-Infobizのことに興味があったらネットで提供した部分資料をダウンロードしてください。GoogleのProfessional-Data-Engineer試験情報認証試験の合格証は多くのIT者になる夢を持つ方がとりたいです。でも、その試験はITの専門知識と経験が必要なので、合格するために一般的にも大量の時間とエネルギーをかからなければならなくて、助簡単ではありません。

Google Professional-Data-Engineer試験情報 - 何の問題があったらお気軽に聞いてください。

何でも上昇しているこの時代に、自分の制限を突破したくないのですか。給料を倍増させることも不可能ではないです。GoogleのProfessional-Data-Engineer試験情報試験に合格したら、あなたは夢を実現することができます。Goldmile-Infobizはあなたの最高のトレーニング資料を提供して、100パーセントの合格率を保証します。これは本当のことです。疑いなくすぐGoldmile-InfobizのGoogleのProfessional-Data-Engineer試験情報試験トレーニング資料を購入しましょう。

GoogleのProfessional-Data-Engineer試験情報認証試験を選んだ人々が一層多くなります。Professional-Data-Engineer試験情報試験がユニバーサルになりましたから、あなたはGoldmile-Infobiz のGoogleのProfessional-Data-Engineer試験情報試験問題と解答¥を利用したらきっと試験に合格するができます。

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 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

GoogleのMicrosoft AZ-305認定試験は現在のいろいろなIT認定試験における最も価値のある資格の一つです。 GoogleのAmazon AWS-Certified-Developer-Associate-KR試験はIT業種に欠くことができない認証ですから、試験に合格することに困っている人々はたくさんいます。 WGU Managing-Cloud-Security - 実際には、認定試験に合格できる方法が多くあります。 CompTIA CS0-003J - これは受験生の皆さんが資料を利用した後の結果です。 「Goldmile-InfobizのEMC D-SF-A-01問題集は本当に良い教材です。

Updated: May 27, 2022