Each format has distinct strength and shortcomings. We have printable PDF format that you can study our Professional-Data-Engineer Learning Materials training engine anywhere and anytime since it is printable. We also have installable Software version which is equipped with simulated real exam environment. You can free download part of Shobhadoshi's exercises and answers about Google certification Professional-Data-Engineer Learning Materials exam as a try, then you will be more confident to choose our Shobhadoshi's products to prepare your Google certification Professional-Data-Engineer Learning Materials exam. Please add Shobhadoshi's products in you cart quickly. App/online version of Professional-Data-Engineer Learning Materials training materials can be suitable to all kinds of equipment or digital devices.

Google Cloud Certified Professional-Data-Engineer We guarantee you 100% certified.

That is the reason why I want to recommend our Professional-Data-Engineer - Google Certified Professional Data Engineer Exam Learning Materials prep guide to you, because we believe this is what you have been looking for. I think with this certification, all the problems will not be a problem. However, to pass this certification is a bit difficult.

You may try it! Our Professional-Data-Engineer Learning Materials preparation exam have assembled a team of professional experts incorporating domestic and overseas experts and scholars to research and design related exam bank, committing great efforts to work for our candidates. Most of the experts have been studying in the professional field for many years and have accumulated much experience in our Professional-Data-Engineer Learning Materials practice questions.

Google Professional-Data-Engineer Learning Materials - Just come and buy it!

The dynamic society prods us to make better. Our services on our Professional-Data-Engineer Learning Materials exam questions are also dependable in after-sales part with employees full of favor and genial attitude towards job. So our services around the Professional-Data-Engineer Learning Materials training materials are perfect considering the needs of exam candidates all-out. They bravely undertake the duties. Our staff knows our Professional-Data-Engineer Learning Materials study quiz play the role of panacea in the exam market which aim to bring desirable outcomes to you.

We believe if you compare our Professional-Data-Engineer Learning Materials training guide with the others, you will choose ours at once. Our Professional-Data-Engineer Learning Materials study materials have a professional attitude at the very beginning of its creation.

Professional-Data-Engineer PDF DEMO:

QUESTION NO: 1
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: 2
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: 3
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: 4
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

QUESTION NO: 5
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

As we know, our products can be recognized as the most helpful and the greatest Huawei H19-629_V1.0 study engine across the globe. Users can learn the latest and latest test information through our SAP C_BCSBS_2502 test dumps. CIPS L5M8 - Service is first! At the same time, as long as the user ensures that the network is stable when using our Salesforce CRT-550 training materials, all the operations of the learning material of can be applied perfectly. The content of our Cisco 200-301 study materials has always been kept up to date.

Updated: May 27, 2022