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Google Professional-Data-Engineer certification exam covers a broad range of topics, including data processing systems, data modeling, data analysis, data visualization, and machine learning. It requires a strong understanding of Google Cloud Platform products and services, such as BigQuery, Dataflow, Dataproc, and Pub/Sub. Professional-Data-Engineer Exam also tests the ability to design and implement solutions that are scalable, efficient, and secure.

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The Google Professional-Data-Engineer exam consists of multiple-choice and scenario-based questions that test the candidates' understanding of GCP data engineering services and best practices for data engineering. Candidates have two hours and thirty minutes to complete the exam. Professional-Data-Engineer exam is available in English, Japanese, Spanish, and Portuguese.

Google Professional-Data-Engineer Certification Exam is designed for professionals who want to demonstrate their skills in designing and building data processing systems on the Google Cloud Platform. Google Certified Professional Data Engineer Exam certification is ideal for data engineers, data analysts, and database administrators who work with big data and want to enhance their skills. Professional-Data-Engineer Exam covers a broad range of topics, including data processing, data storage, data analysis, and machine learning.

Google Certified Professional Data Engineer Exam Sample Questions (Q110-Q115):

NEW QUESTION # 110
You have several Spark jobs that run on a Cloud Dataproc cluster on a schedule. Some of the jobs run in sequence, and some of the jobs run concurrently. You need to automate this process. What should you do?

A. Create a Directed Acyclic Graph in Cloud Composer
B. Create a Cloud Dataproc Workflow Template
C. Create a Bash script that uses the Cloud SDK to create a cluster, execute jobs, and then tear down the cluster
D. Create an initialization action to execute the jobs

Answer: B

Explanation:
Explanation/Reference: https://cloud.google.com/dataproc/docs/concepts/workflows/using-workflows

NEW QUESTION # 111
You are training a spam classifier. You notice that you are overfitting the training data. Which three actions can you take to resolve this problem? (Choose three.)

A. Increase the regularization parameters
B. Get more training examples
C. Use a smaller set of features
D. Decrease the regularization parameters
E. Use a larger set of features
F. Reduce the number of training examples

Answer: B,D,E

Explanation:
Explanation/Reference:

NEW QUESTION # 112
Your company's on-premises Apache Hadoop servers are approaching end-of-life, and IT has decided to migrate the cluster to Google Cloud Dataproc. A like-for-like migration of the cluster would require 50 TB of Google Persistent Disk per node. The CIO is concerned about the cost of using that much block storage. You want to minimize the storage cost of the migration. What should you do?

A. Migrate some of the cold data into Google Cloud Storage, and keep only the hot data in Persistent Disk.
B. Put the data into Google Cloud Storage.
C. Use preemptible virtual machines (VMs) for the Cloud Dataproc cluster.
D. Tune the Cloud Dataproc cluster so that there is just enough disk for all data.

Answer: C

Explanation:
References:

NEW QUESTION # 113
You store historic data in Cloud Storage. You need to perform analytics on the historic dat
a. You want to use a solution to detect invalid data entries and perform data transformations that will not require programming or knowledge of SQL.
What should you do?

A. Use Cloud Dataprep with recipes to detect errors and perform transformations.
B. Use federated tables in BigQuery with queries to detect errors and perform transformations.
C. Use Cloud Dataflow with Beam to detect errors and perform transformations.
D. Use Cloud Dataproc with a Hadoop job to detect errors and perform transformations.

Answer: A

NEW QUESTION # 114
Which is the preferred method to use to avoid hotspotting in time series data in Bigtable?

A. Hashing
B. Field promotion
C. Randomization
D. Salting

Answer: B

Explanation:
By default, prefer field promotion. Field promotion avoids hotspotting in almost all cases, and it tends to make it easier to design a row key that facilitates queries.
Reference:
https://cloud.google.com/bigtable/docs/schema-design-time-series#ensure_that_your_row_key_avoids_hotspotti

NEW QUESTION # 115
......

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