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Career Path

Completing the exam associated with the Google Professional Data Engineer certification provides you with a great validation of your skills in designing, building, operationalizing, securing, and monitoring data processing systems. The job roles that you can take up after getting certified include a Google Cloud Data Engineer, an Operations Engineer, a Cloud Infrastructure Engineer, a DevOps Infrastructure Engineer, a Cloud Database Engineer, a Google Cloud IAM Engineer, a DataOps Engineer, a Big Data Engineer, a Google Cloud Platform Data Architect, and more. The average salary that you can expect to earn with this certificate is around $125,550 per year. However, the real remuneration will depend on a specific job title, location of an individual, and his/her working experience.

The Google Professional-Data-Engineer Exam covers a wide range of topics, including data processing, storage, analysis, transformation, and visualization on Google Cloud Platform. Candidates are expected to have a deep understanding of Google Cloud Platform services and tools, as well as the ability to design and implement scalable, reliable, and efficient data processing systems that meet business requirements. Google Certified Professional Data Engineer Exam certification exam is rigorous and challenging, requiring candidates to demonstrate their ability to apply their knowledge and skills to real-world scenarios. Successful candidates will be able to demonstrate their proficiency in designing and building data processing systems on Google Cloud Platform and will be recognized as experts in this field.

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Ensure Solution Quality

Ensure Portability & Flexibility: The considerations for this domain include the design for application and data portability, including data residency prerequisites and Multiple-Cloud. It also coves data staging, discovery, and cataloging, as well as mapping to future and current business prerequisites.
Ensure Fidelity & Reliability: The applicants should be able to carry out data preparation & quality control (such as Cloud Dataprep), verify and monitor, as well as plan, execute, and stress test data recovery (including rerunning failed jobs, fault tolerance, and retrospective re-analysis performance). Besides that, they should be able to choose between idempotent ACID and eventual consistent prerequisites;
Design for Compliance & Security: The consideration for this topic includes identity & access management such as Cloud IAM. You should also know about data security (including key management and encryption) and privacy assurance (such as Data Loss Prevention API). This part also covers the skills needed in legal compliance, including Health Insurance Portability & Accountability Act, FedRAMP, Children’s Online Privacy Protection Act, and General Data Protection Regulation;
Ensure Efficiency & Scalability: The potential candidates will be required to demonstrate their ability to build and run test suits as well as monitor pipeline, including Stackdriver. It also focuses on their skills related to assessing, improving, and troubleshooting data process infrastructure and data representations. This area will also require that the test takers demonstrate the capacity to resize and autoscale resources;

Google Certified Professional Data Engineer Exam Sample Questions (Q200-Q205):

NEW QUESTION # 200
You work for a financial institution that lets customers register online. As new customers register, their user data is sent to Pub/Sub before being ingested into BigQuery. For security reasons, you decide to redact your customers' Government issued Identification Number while allowing customer service representatives to view the original values when necessary. What should you do?

A. Use BigQuery column-level security. Set the table permissions so that only members of the Customer Service user group can see the SSN column.
B. Use BigQuery's built-in AEAD encryption to encrypt the SSN column. Save the keys to a new table that is only viewable by permissioned users.
C. Before loading the data into BigQuery, use Cloud Data Loss Prevention (DLP) to replace input values with a cryptographic format-preserving encryption token.
D. Before loading the data into BigQuery, use Cloud Data Loss Prevention (DLP) to replace input values with a cryptographic hash.

Answer: C

NEW QUESTION # 201
Google Cloud Bigtable indexes a single value in each row. This value is called the _______.

A. primary key
B. row key
C. unique key
D. master key

Answer: B

Explanation:
Explanation
Cloud Bigtable is a sparsely populated table that can scale to billions of rows and thousands of columns, allowing you to store terabytes or even petabytes of data. A single value in each row is indexed; this value is known as the row key.
Reference: https://cloud.google.com/bigtable/docs/overview

NEW QUESTION # 202
You want to process payment transactions in a point-of-sale application that will run on Google Cloud Platform. Your user base could grow exponentially, but you do not want to manage infrastructure scaling.
Which Google database service should you use?

A. Cloud SQL
B. Cloud Datastore
C. Cloud Bigtable
D. BigQuery

Answer: B

Explanation:
https://cloud.google.com/datastore/docs/concepts/overview

NEW QUESTION # 203
Your company produces 20,000 files every hour. Each data file is formatted as a comma separated values (CSV) file that is less than 4 KB. All files must be ingested on Google Cloud Platform before they can be processed. Your company site has a 200 ms latency to Google Cloud, and your Internet connection bandwidth is limited as 50 Mbps. You currently deploy a secure FTP (SFTP) server on a virtual machine in Google Compute Engine as the data ingestion point. A local SFTP client runs on a dedicated machine to transmit the CSV files as is. The goal is to make reports with data from the previous day available to the executives by 10:00 a.m. each day. This design is barely able to keep up with the current volume, even though the bandwidth utilization is rather low. You are told that due to seasonality, your company expects the number of files to double for the next three months. Which two actions should you take? (choose two.)

A. Create an S3-compatible storage endpoint in your network, and use Google Cloud Storage Transfer Service to transfer on-premices data to the designated storage bucket.
B. Assemble 1,000 files into a tape archive (TAR) file. Transmit the TAR files instead, and disassemble the CSV files in the cloud upon receiving them.
C. Introduce data compression for each file to increase the rate file of file transfer.
D. Contact your internet service provider (ISP) to increase your maximum bandwidth to at least 100 Mbps.
E. Redesign the data ingestion process to use gsutil tool to send the CSV files to a storage bucket in parallel.

Answer: D,E

NEW QUESTION # 204
As your organization expands its usage of GCP, many teams have started to create their own projects.
Projects are further multiplied to accommodate different stages of deployments and target audiences. Each project requires unique access control configurations. The central IT team needs to have access to all projects.
Furthermore, data from Cloud Storage buckets and BigQuery datasets must be shared for use in other projects in an ad hoc way. You want to simplify access control management by minimizing the number of policies.
Which two steps should you take? (Choose two.)

A. Create distinct groups for various teams, and specify groups in Cloud IAM policies.
B. Only use service accounts when sharing data for Cloud Storage buckets and BigQuery datasets.
C. Use Cloud Deployment Manager to automate access provision.
D. Introduce resource hierarchy to leverage access control policy inheritance.
E. For each Cloud Storage bucket or BigQuery dataset, decide which projects need access. Find all the active members who have access to these projects, and create a Cloud IAM policy to grant access to all these users.

Answer: A,C

Explanation:
Explanation

NEW QUESTION # 205
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New Google Professional-Data-Engineer Exam Pattern | Professional-Data-Engineer Test Guide Online

Career Path

Pass Guaranteed Quiz Google - Professional-Data-Engineer - Google Certified Professional Data Engineer Exam First-grade New Exam Pattern

Ensure Solution Quality

Google Certified Professional Data Engineer Exam Sample Questions (Q200-Q205):

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