Professional-Data-Engineer Exam Training - Professional-Data-Engineer Valid Test Labs

Tags: Professional-Data-Engineer Exam Training, Professional-Data-Engineer Valid Test Labs, Valid Professional-Data-Engineer Exam Camp Pdf, Professional-Data-Engineer Valid Exam Question, New Professional-Data-Engineer Test Questions

BONUS!!! Download part of Exam4Docs Professional-Data-Engineer dumps for free: https://drive.google.com/open?id=1cFCZHEHwt7jZ5fsYattIjO7_YjjzWZhW

According to the survey, the average pass rate of our candidates has reached 99%. High passing rate must be the key factor for choosing, which is also one of the advantages of our Professional-Data-Engineer real study dumps. Once our customers pay successfully, we will check about your email address and other information to avoid any error, and send you the Professional-Data-Engineer prep guide in 5-10 minutes, so you can get our Professional-Data-Engineer Exam Questions at first time. And then you can start your study after downloading the Professional-Data-Engineer exam questions in the email attachments. High efficiency service has won reputation for us among multitude of customers, so choosing our Professional-Data-Engineer real study dumps we guarantee that you won’t be regret of your decision.

Google Professional-Data-Engineer certification exam is an excellent way for data engineering professionals to demonstrate their expertise in this field. Professional-Data-Engineer exam covers a wide range of topics and technologies, and it is designed to test the candidate's ability to design and implement solutions that meet the needs of real-world scenarios. If you are a data engineering professional looking to advance your career, the Google Professional-Data-Engineer certification exam is definitely worth considering.

>> Professional-Data-Engineer Exam Training <<

Pass Guaranteed Professional-Data-Engineer - Google Certified Professional Data Engineer Exam Unparalleled Exam Training

There are a lot of experts and professors in our company. All Professional-Data-Engineer study torrent of our company are designed by these excellent experts and professors in different area. We can make sure that our Google Professional-Data-Engineer test torrent has a higher quality than other study materials. The aim of our design is to improving your learning and helping you gains your Google Certified Professional Data Engineer Exam Professional-Data-Engineer Certification in the shortest time. If you long to gain the certification, our Google Certified Professional Data Engineer Exam guide torrent will be your best choice.

Google Certified Professional Data Engineer Exam Sample Questions (Q201-Q206):

NEW QUESTION # 201
You have a streaming pipeline that ingests data from Pub/Sub in production. You need to update this streaming pipeline with improved business logic. You need to ensure that the updated pipeline reprocesses the previous two days of delivered Pub/Sub messages. What should you do?
Choose 2 answers

A. Create a new Pub/Sub subscription two days before the deployment.
B. Use Pub/Sub Seek with a timestamp.
C. Use the Pub/Sub subscription retain-asked-messages flag.
D. Use the Pub/Sub subscription clear-retry-policy flag.
E. Use Pub/Sub Snapshot capture two days before the deployment.

Answer: B,E

Explanation:
To update a streaming pipeline with improved business logic and reprocess the previous two days of delivered Pub/Sub messages, you should use Pub/Sub Seek with a timestamp and Pub/Sub Snapshot capture two days before the deployment. Pub/Sub Seek allows you to replay or purge messages in a subscription based on a time or a snapshot. Pub/Sub Snapshot allows you to capture the state of a subscription at a given point in time and replay messages from that point. By using these features, you can ensure that the updated pipeline can process the messages that were delivered in the past two days without losing any data. References:
* Pub/Sub Seek
* Pub/Sub Snapshot

NEW QUESTION # 202
What are two methods that can be used to denormalize tables in BigQuery?

A. 1) Split table into multiple tables; 2) Use a partitioned table
B. 1) Use nested repeated fields; 2) Use a partitioned table
C. 1) Use a partitioned table; 2) Join tables into one table
D. 1) Join tables into one table; 2) Use nested repeated fields

Answer: D

Explanation:
The conventional method of denormalizing data involves simply writing a fact, along with all its dimensions, into a flat table structure. For example, if you are dealing with sales transactions, you would write each individual fact to a record, along with the accompanying dimensions such as order and customer information.
The other method for denormalizing data takes advantage of BigQuery's native support for nested and repeated structures in JSON or Avro input data. Expressing records using nested and repeated structures can provide a more natural representation of the underlying data. In the case of the sales order, the outer part of a JSON structure would contain the order and customer information, and the inner part of the structure would contain the individual line items of the order, which would be represented as nested, repeated elements.

NEW QUESTION # 203
Which is not a valid reason for poor Cloud Bigtable performance?

A. There are issues with the network connection.
B. The workload isn't appropriate for Cloud Bigtable.
C. The Cloud Bigtable cluster has too many nodes.
D. The table's schema is not designed correctly.

Answer: C

Explanation:
The Cloud Bigtable cluster doesn't have enough nodes. If your Cloud Bigtable cluster is overloaded, adding more nodes can improve performance. Use the monitoring tools to check whether the cluster is overloaded.

NEW QUESTION # 204
Your company is migrating their 30-node Apache Hadoop cluster to the cloud. They want to re-use Hadoop jobs they have already created and minimize the management of the cluster as much as possible. They also want to be able to persist data beyond the life of the cluster. What should you do?

A. Create a Cloud Dataproc cluster that uses the Google Cloud Storage connector.
B. Create a Google Cloud Dataproc cluster that uses persistent disks for HDFS.
C. Create a Hadoop cluster on Google Compute Engine that uses Local SSD disks.
D. Create a Google Cloud Dataflow job to process the data.
E. Create a Hadoop cluster on Google Compute Engine that uses persistent disks.

Answer: A

Explanation:
Dataproc is used to migrate Hadoop and Spark jobs on GCP. Dataproc with GCS connected through Google Cloud Storage connector helps store data after the life of the cluster. When the job is high I/O intensive, then we need to create a small persistent disk.

NEW QUESTION # 205
Your company's customer and order databases are often under heavy load. This makes performing
analytics against them difficult without harming operations. The databases are in a MySQL cluster, with
nightly backups taken using mysqldump. You want to perform analytics with minimal impact on operations.
What should you do?

A. Use an ETL tool to load the data from MySQL into Google BigQuery.
B. Add a node to the MySQL cluster and build an OLAP cube there.
C. Connect an on-premises Apache Hadoop cluster to MySQL and perform ETL.
D. Mount the backups to Google Cloud SQL, and then process the data using Google Cloud Dataproc.

Answer: C

NEW QUESTION # 206
......

Many customers may doubt the quality of our Google Professional-Data-Engineer learning quiz since they haven't tried them. But our Professional-Data-Engineer training engine is reliable. What you have learnt on our Google Certified Professional Data Engineer Exam Professional-Data-Engineer Exam Materials are going through special selection. The core knowledge of the real exam is significant.

Professional-Data-Engineer Valid Test Labs: https://www.exam4docs.com/Professional-Data-Engineer-study-questions.html

P.S. Free & New Professional-Data-Engineer dumps are available on Google Drive shared by Exam4Docs: https://drive.google.com/open?id=1cFCZHEHwt7jZ5fsYattIjO7_YjjzWZhW

Blog