Time does not wait! If you are very busy, you can only take two or three hours a day to study our Professional-Data-Engineer Tutorial study engine. Then I tell you this is enough! We make Professional-Data-Engineer Tutorial exam prep from exam candidate perspective, and offer high quality practice materials with reasonable prices but various benefits. Among global market, Professional-Data-Engineer Tutorial guide question is not taking up such a large share with high reputation for nothing. On one hand, our Professional-Data-Engineer Tutorial study materials are all the latest and valid exam questions and answers that will bring you the pass guarantee.

Google Cloud Certified Professional-Data-Engineer Come and buy it now.

Professional-Data-Engineer - Google Certified Professional Data Engineer Exam Tutorial exam prep look forward to meeting you. In addition, we clearly know that constant improvement is of great significance to the survival of a company. The fierce competition in the market among the same industry has long existed.

After you use our study materials, you can get Professional-Data-Engineer Tutorial certification, which will better show your ability, among many competitors, you will be very prominent. Using Professional-Data-Engineer Tutorial exam prep is an important step for you to improve your soft power. I hope that you can spend a little time understanding what our study materials have to attract customers compared to other products in the industry.

Google Professional-Data-Engineer Tutorial - It will be a first step to achieve your dreams.

There may be a lot of people feel that the preparation process for Professional-Data-Engineer Tutorial exams is hard and boring, and hard work does not necessarily mean good results, which is an important reason why many people are afraid of examinations. Today, our Professional-Data-Engineer Tutorial exam materials will radically change this. High question hit rate makes you no longer aimless when preparing for the exam, so you just should review according to the content of our Professional-Data-Engineer Tutorial study guide prepared for you.

Our Professional-Data-Engineer Tutorial real exam try to ensure that every customer is satisfied, which can be embodied in the convenient and quick refund process. Although the passing rate of our Professional-Data-Engineer Tutorial training quiz is close to 100%, if you are still worried, we can give you another guarantee: if you don't pass the exam, you can get a full refund.

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
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: 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

As a rich experienced exam dump provider, we will provide you with one of the best tools available to you for pass IBM C1000-197 exam. To keep up with the changes of the exam syllabus, our RedHat EX374 practice engine are continually updated to ensure that they can serve you continuously. Our HP HPE2-B07 exam materials are formally designed for the exam. Amazon SCS-C02 - We believe that our business will last only if we treat our customers with sincerity and considerate service. Adobe AD0-E907 - The three versions are very flexible for all customers to operate.

Updated: May 27, 2022