PROFESSIONAL-DATA-ENGINEER LATEST DUMPS BOOK | PROFESSIONAL-DATA-ENGINEER GUARANTEED QUESTIONS ANSWERS

Professional-Data-Engineer Latest Dumps Book | Professional-Data-Engineer Guaranteed Questions Answers

Professional-Data-Engineer Latest Dumps Book | Professional-Data-Engineer Guaranteed Questions Answers

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Exam Overview

The Professional Data Engineer certification exam is a 2-hour test consisting of the multiple-choice and multiple-select questions. The students can take it in the English or Japanese languages. To register for and schedule the exam, you must pay the fee of $200. It is possible to sit for this test in an online proctored format at a remote location. You can also take it as an on-site proctored exam at a designated testing center.

Google Professional-Data-Engineer Certification Exam is an excellent opportunity for data engineering professionals to validate their skills and knowledge in designing, building, and managing data processing systems on the Google Cloud Platform. It is a challenging exam that requires a deep understanding of Google Cloud Platform tools and services for data processing, as well as the ability to design and implement secure, reliable, and cost-effective data processing systems. Passing the exam and becoming a Google Certified Professional Data Engineer can help professionals advance their careers and increase their earning potential.

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Google Certified Professional Data Engineer Exam Sample Questions (Q50-Q55):

NEW QUESTION # 50
You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name from the data source and then write to an output PCollection.
Tom,555 X street
Tim,553 Y street
Sam, 111 Z street
Which operation is best suited for the above data processing requirement?

  • A. Sink API
  • B. Source API
  • C. ParDo
  • D. Data extraction

Answer: C

Explanation:
In Google Cloud dataflow SDK, you can use the ParDo to extract only a customer name of each
element in your PCollection.


NEW QUESTION # 51
You are developing an Apache Beam pipeline to extract data from a Cloud SQL instance by using JdbclO. You have two projects running in Google Cloud. The pipeline will be deployed and executed on Dataflow in Project A. The Cloud SQL instance is running jn Project B and does not have a public IP address. After deploying the pipeline, you noticed that the pipeline failed to extract data from the Cloud SQL instance due to connection failure. You verified that VPC Service Controls and shared VPC are not in use in these projects. You want to resolve this error while ensuring that the data does not go through the public internet. What should you do?

  • A. Add the external IP addresses of the Dataflow worker as authorized networks in the Cloud SOL instance.
  • B. Set up VPC Network Peering between Project A and Project B. Add a firewall rule to allow the peered subnet range to access all instances on the network.
  • C. Set up VPC Network Peering between Project A and Project B. Create a Compute Engine instance without external IP address in Project B on the peered subnet to serve as a proxy server to the Cloud SQL database.
  • D. Turn off the external IP addresses on the Dataflow worker. Enable Cloud NAT in Project A.

Answer: C

Explanation:
Option A is incorrect because VPC Network Peering alone does not enable connectivity to Cloud SQL instances with private IP addresses. You also need to configure private services access and allocate an IP address range for the service producer network1.
Option B is incorrect because Cloud NAT does not support Cloud SQL instances with private IP addresses. Cloud NAT only provides outbound connectivity for resources that do not have public IP addresses, such as VMs, GKE clusters, and serverless instances2.
Option C is correct because it allows you to use a Compute Engine instance as a proxy server to connect to the Cloud SQL database over the peered network. The proxy server does not need an external IP address because it can communicate with the Dataflow workers and the Cloud SQL instance using internal IP addresses. You need to install the Cloud SQL Auth proxy on the proxy server and configure it to use a service account that has the Cloud SQL Client role.
Option D is incorrect because it requires you to assign public IP addresses to the Dataflow workers, which exposes the data to the public internet. This violates the requirement of ensuring that the data does not go through the public internet. Moreover, adding authorized networks does not work for Cloud SQL instances with private IP addresses.


NEW QUESTION # 52
You are building a model to make clothing recommendations. You know a user's fashion pis likely to change over time, so you build a data pipeline to stream new data back to the model as it becomes available. How should you use this data to train the model?

  • A. Train on the existing data while using the new data as your test set.
  • B. Continuously retrain the model on a combination of existing data and the new data.
  • C. Continuously retrain the model on just the new data.
  • D. Train on the new data while using the existing data as your test set.

Answer: D


NEW QUESTION # 53
Your company has recently grown rapidly and now ingesting data at a significantly higher rate than it was
previously. You manage the daily batch MapReduce analytics jobs in Apache Hadoop. However, the
recent increase in data has meant the batch jobs are falling behind. You were asked to recommend ways
the development team could increase the responsiveness of the analytics without increasing costs. What
should you recommend they do?

  • A. Rewrite the job in Pig.
  • B. Rewrite the job in Apache Spark.
  • C. Increase the size of the Hadoop cluster.
  • D. Decrease the size of the Hadoop cluster but also rewrite the job in Hive.

Answer: A


NEW QUESTION # 54
You want to archive data in Cloud Storage. Because some data is very sensitive, you want to use the "Trust No One" (TNO) approach to encrypt your data to prevent the cloud provider staff from decrypting your data.
What should you do?

  • A. Use gcloud kms keys create to create a symmetric key. Then use gcloud kms encrypt to encrypt each archival file with the key. Use gsutil cp to upload each encrypted file to the Cloud Storage bucket.
    Manually destroy the key previously used for encryption, and rotate the key once.
  • B. Specify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to upload each archival file to the Cloud Storage bucket. Save the CSEK in a different project that only the security team can access.
  • C. Use gcloud kms keys create to create a symmetric key. Then use gcloud kms encrypt to encrypt each archival file with the key and unique additional authenticated data (AAD). Use gsutil cp to upload each encrypted file to the Cloud Storage bucket, and keep the AAD outside of Google Cloud.
  • D. Specify customer-supplied encryption key (CSEK) in the .boto configuration file. Use gsutil cp to upload each archival file to the Cloud Storage bucket. Save the CSEK in Cloud Memorystore as permanent storage of the secret.

Answer: A


NEW QUESTION # 55
......

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