
Google Professional Cloud Architect & Data Engineer Pack
Description
Google Professional Cloud Architect & Data Engineer Pack
Are you ready to take the Google Professional Cloud Architect Exam or Google Professional Data Engineer Exam? Test yourself by answering 435 questions!
This course is in the form of practice tests and consists of 450 questions that may appear during the Google Professional Cloud Architect or Data Engineer exam. This course allows you to confirm your proficiency and give you the confidence you need to earn a Google Professional Cloud Architect or Google Professional Data Engineer certification.
[GOOGLE PROFESSIONAL CLOUD ARCHITECT]
A Google Cloud Certified Professional Cloud Architect enables organizations to leverage Google Cloud technologies. Through an understanding of cloud architecture and Google technology, this individual designs, develops, and manages robust, secure, scalable, highly available, and dynamic solutions to drive business objectives.
The Cloud Architect should be proficient in all aspects of enterprise cloud strategy, solution design, and architectural best practices. The Cloud Architect should also be experienced in software development methodologies and approaches including multi-tiered distributed applications which span multicloud or hybrid environments.
The Professional Cloud Architect certification exam assesses your ability to:
Design and plan a cloud architecture
Manage and provision the cloud solution infrastructure
Design for security and compliance
Analyze and optimize technical and business processes
Manage implementations of cloud architecture
Ensure solution and operations reliability
About the Google Professional Cloud Architect exam:
Length: 2 hours
Registration fee: $200 (plus tax where applicable)
Languages: English, Japanese
Format: Multiple choice and multiple select, taken remotely or in person at a test center.
Case studies: Each exam includes 2 case studies that describe fictitious business and solution concepts. Case study questions make up 20-30% of the exam and assess your ability to apply your knowledge to a realistic business situation.
Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Case studies
During the exam for the Cloud Architect Certification, some of the questions may refer you to a case study that describes a fictitious business. These case studies are intended to provide additional context to help you choose your answer(s). Review the case studies that may be used in the exam (Google website).
EHR Healthcare
Helicopter Racing League
Mountkirk Games
TerramEarth
Exam guide:
Designing and planning a cloud solution architecture
Designing a solution infrastructure that meets business requirements
Designing a solution infrastructure that meets technical requirements
Designing network, storage, and compute resources
Creating a migration plan (i.e., documents and architectural diagrams)
Envisioning future solution improvements
Managing and provisioning a solution infrastructure
Configuring network topologies
Configuring individual storage systems
Configuring compute systems
Designing for security and compliance
Designing for security
Designing for compliance
Analyzing and optimizing technical and business processes
Analyzing and defining technical processes
Analyzing and defining business processes
Developing procedures to ensure reliability of solutions in production (e.g., chaos engineering, penetration testing)
Managing implementation
Advising development/operation teams to ensure successful deployment of the solution
Interacting with Google Cloud programmatically
Ensuring solution and operations reliability
Monitoring/logging/profiling/alerting solution
Deployment and release management
Assisting with the support of deployed solutions
Evaluating quality control measures
[GOOGLE PROFESSIONAL DATA ENGINEER]
Professional Data Engineers enable data-driven decision making by collecting, transforming, and publishing data. A Data Engineer should be able to design, build, operationalize, secure, and monitor data processing systems with a particular emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability. A Data Engineer should also be able to leverage, deploy, and continuously train pre-existing machine learning models.
About the Google Cloud Professional Data Engineer exam:
Length: 2 hours
Registration fee: $200 (plus tax where applicable)
Languages: English, Japanese
Format: 50-60 multiple choice and multiple select questions
Recommended experience: 3+ years of industry experience including 1+ years designing and managing solutions using Google Cloud.
Exam Delivery Method: the online-proctored exam from a remote location or the onsite-proctored exam at a testing center
The Professional Data Engineer exam assesses your ability to:
Designing data processing systems
Building and operationalizing data processing systems
Operationalizing machine learning models
Ensuring solution quality
Exam guide:
Designing data processing systems
Selecting the appropriate storage technologies
Designing data pipelines.
Designing a data processing solution
Migrating data warehousing and data processing
Building and operationalizing data processing systems
Building and operationalizing storage systems
Building and operationalizing pipelines
Building and operationalizing processing infrastructure
Operationalizing machine learning models
Leveraging pre-built ML models as a service
Deploying an ML pipeline
Choosing the appropriate training and serving infrastructure
Measuring, monitoring, and troubleshooting machine learning models.
Ensuring solution quality
Designing for security and compliance
Ensuring scalability and efficiency
Ensuring reliability and fidelity
Ensuring flexibility and portability
[Q&A]
Can I take the practice test more than once?
You can take each practical test multiple times. After completing the practice test, your final result will be published. Each time you take the test, the order of questions and answers is randomized.
Do I have a time limit for practice tests?
Each test has a time limit - 120 seconds per question. This gives a total of 15 hours for questions in this course.
What result is required?
The required grade for each practice test is 70% correct answers.
Are the questions multiple choice?
In order to reflect the form of the interview as much as possible and to raise the level of difficulty, the questions are single and multiple choice.
Can I see my answers?
You can review all submitted responses and see which were correct and which were not.
Are the questions updated on a regular basis?
Yes.
Notes! I strongly encourage you to repeat these exams until you consistently achieve a score of 90% or higher on each exam. Do not hesitate and take the challenge today. Good luck!
Who this course is for:
- everyone who wants to take the Google Professional Cloud Architect exam
- everyone who wants to take the Google Professional Data Engineer exam
- everyone who wants to prepare for an interview with Google Cloud
- everyone who wants to work with Google Cloud
Instructor
EN
Python Developer/Data Scientist/Stockbroker
Founder at e-smartdata[.]org.
Big fan of new technologies!
Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization.
Graduate of MA studies in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics.
Stockbroker license holder (no 3073).
Lecturer at the GPW Foundation (technical analysis, behavioral finance and portfolio management).
PL
Data Scientist, Securities Broker
Założyciel platformy e-smartdata[.]org
Miłośnik nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python oraz rozwiązań chmurowych.
Absolwent podyplomowych studiów na Polsko-Japońskiej Akademii Technik Komputerowych na kierunku Informatyka, spec. Big Data.
Absolwent studiów magisterskich z matematyki finansowej i aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego.
Od 2015 roku posiadacz licencji Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073).
Wykładowca w Fundacji GPW prowadzący szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych.
Z doświadczeniem w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką.
Główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.
IG: e_smartdata