Get Latest De

Google Cloud Data Engineer Practice Exam | WarOfCloud




Google Cloud Professional Data EngineerCertification Course


Graduates and Technology Aspirants


Both Classroom and Online Classes


Week Days and Week Ends

Duration :

1.5  hrs in weekdays and 3hrs during Weekend

Google Cloud Professional Data Engineer What will you learn?

•Best practices for Google Cloud Professional Data Engineer
•Explore different tools used for the Google Cloud Professional Data Engineer .
•Learn Google Cloud Professional Data Engineer from scratch. Code like a PRO
•How to apply the Google Cloud Professional Data Engineer rules in different situations.
•Learn How To Create Your Google Cloud Professional Data Engineer In Easy Steps
•The best way to learn modern Google Cloud Professional Data Engineer step-by-step from scratch.
•Learn Basic and Advanced Google Cloud Professional Data Engineer Programming and become a Google Cloud Professional Data Engineer Developer
•In This Course u Will Learn How To Develop Apps using Google Cloud Professional Data Engineer
•with this time saving course you will Learn Google Cloud Professional Data Engineer and ready to use it

Google Cloud Data Engineer Practice Exam | WarOfCloud Course Features

•Career guidance providing by It Expert
•We  Groom up your documents and profiles
•Doubt clarification in class and after class
•We enage Experienced trainers for Quality Training
•Fast track and Sunday Batches available on request
•Training by Proficient Trainers with more than a decade of experience
•Curriculum based on course outlines defined by in-demand skills in Python.
•The course is all about familiarizing the trainees with simpler and smarter ways to develop the skills required for Implementation.

Who are eligible for Google Cloud Professional Data Engineer

•Amazon Web Services Administration, Cloud Database Administration, Hadoop Bigdata Administration, Openstack Database Administration, Salesforce Database
•IOS Developer, .net c#, c c++ java, accounts finance sap fico, sap mm functional consultant
•Java, .NET, Software Testing, Android Developer, IOS Developer, Engineering, SAP, BI, PHP, UI Designer, Big Data, PHP5, HTML5, Linux
•Qa Testers / Developers, Full Stack Developers – Backend / Frontend, Power Bi, Market Intelligence
•webdesigner, informatica, datastage, teradata, mircostrategy, Sap Abap, QA Tester, Green hat tester, salesforce, developer, tibco, Hadoop


These exams are up to date with the current version as of September 2019 The Data Engineer practice exam will familiarize you with types of questions you may encounter on the certification exam and help you determine your readiness or if you need more preparation and/or experience. Successful completion of the practice exam does guarantee you will pass the certification exam as the actual exam is longer and covers a wider range of topics. For a full list of the topics you could be tested on, see the exam guide. There is no limit to the number of times you can take this practice exam. You can save your progress. There is 120 minutes time limit for the practice exam, but we recommend completion in 60 minutes or less. This practice exam is available in English Certification exam guide 1. Designing data processing systems 1.1 Selecting the appropriate storage technologies. Considerations include: Mapping storage systems to business requirements Data modeling Tradeoffs involving latency, throughput, transactions Distributed systems Schema design 1.2 Designing data pipelines. Considerations include: Data publishing and visualization (e.g., BigQuery) Batch and streaming data (e.g., Cloud Dataflow, Cloud Dataproc, Apache Beam, Apache Spark and Hadoop ecosystem, Cloud Pub/Sub, Apache Kafka) Online (interactive) vs. batch predictions Job automation and orchestration (e.g., Cloud Composer) 1.3 Designing a data processing solution. Considerations include: Choice of infrastructure System availability and fault tolerance Use of distributed systems Capacity planning Hybrid cloud and edge computing Architecture options (e.g., message brokers, message queues, middleware, service-oriented architecture, serverless functions) At least once, in-order, and exactly once, etc., event processing 1.4 Migrating data warehousing and data processing. Considerations include: Awareness of current state and how to migrate a design to a future state Migrating from on-premises to cloud (Data Transfer Service, Transfer Appliance, Cloud Networking) Validating a migration 2. Building and operationalizing data processing systems 2.1 Building and operationalizing storage systems. Considerations include: Effective use of managed services (Cloud Bigtable, Cloud Spanner, Cloud SQL, BigQuery, Cloud Storage, Cloud Datastore, Cloud Memorystore) Storage costs and performance Lifecycle management of data 2.2 Building and operationalizing pipelines. Considerations include: Data cleansing Batch and streaming Transformation Data acquisition and import Integrating with new data sources 2.3 Building and operationalizing processing infrastructure. Considerations include: Provisioning resources Monitoring pipelines Adjusting pipelines Testing and quality control 3. Operationalizing machine learning models 3.1 Leveraging pre-built ML models as a service. Considerations include: ML APIs (e.g., Vision API, Speech API) Customizing ML APIs (e.g., AutoML Vision, Auto ML text) Conversational experiences (e.g., Dialogflow) 3.2 Deploying an ML pipeline. Considerations include: Ingesting appropriate data Retraining of machine learning models (Cloud Machine Learning Engine, BigQuery ML, Kubeflow, Spark ML) Continuous evaluation 3.3 Choosing the appropriate training and serving infrastructure. Considerations include: Distributed vs. single machine Use of edge compute Hardware accelerators (e.g., GPU, TPU) 3.4 Measuring, monitoring, and troubleshooting machine learning models. Considerations include: Machine learning terminology (e.g., features, labels, models, regression, classification, recommendation, supervised and unsupervised learning, evaluation metrics) Impact of dependencies of machine learning models Common sources of error (e.g., assumptions about data) 4. Ensuring solution quality 4.1 Designing for security and compliance. Considerations include: Identity and access management (e.g., Cloud IAM) Data security (encryption, key management) Ensuring privacy (e.g., Data Loss Prevention API) Legal compliance (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children’s Online Privacy Protection Act (COPPA), FedRAMP, General Data Protection Regulation (GDPR)) 4.2 Ensuring scalability and efficiency. Considerations include: Building and running test suites Pipeline monitoring (e.g., Stackdriver) Assessing, troubleshooting, and improving data representations and data processing infrastructure Resizing and autoscaling resources 4.3 Ensuring reliability and fidelity. Considerations include: Performing data preparation and quality control (e.g., Cloud Dataprep) Verification and monitoring Planning, executing, and stress testing data recovery (fault tolerance, rerunning failed jobs, performing retrospective re-analysis) Choosing between ACID, idempotent, eventually consistent requirements 4.4 Ensuring flexibility and portability. Considerations include: Mapping to current and future business requirements Designing for data and application portability (e.g., multi-cloud, data residency requirements) Data staging, cataloging, and discovery

Eligiblity for Certification :

Google Cloud Certified – Professional Data Engineer Practice Exams have been designed for students as a final preparation step before appearing for the exams. We recommend taking the course atleast 15 days before the exam and make sure you pass all of them with more then 80%

Our Locations

Hyderabad address: Aditya Enclave, Annapurna Block #210,2nd floor, Ameerpet, Hyderabad, Telangana 500016

Bangalore address: 19/C, Outer Ring Rd, Vysya Bank Colony, Stage 2, BTM 2nd Stage, Bengaluru, Karnataka 560076

ap adsress: 4th floor, 177/1, 7th B Main Rd, Jayanagar East, Jaya Nagar 1st Block, Jayanagar, Bengaluru, Karnataka 560011

vizag address: Techmate Institute of Management, 2nd floor, NH-5 Main Road , Old gajuwaka Bus stop backside, Old Gajuwaka, Visakhapatnam, Andhra Pradesh 530026

Vijayawada address: 3, AIR Port Road, 44, Eluru Rd, Enikepadu, Vijayawada, Andhra Pradesh 521108


{1(name):uppercase_first_character_words} | {1(dist)}


{Online Trainings |IT Trainings|Software Trainings|Tech Trainings|Online Courses|Computer Courses|Professional Training|Computer Training|Professional Courses|Certification Courses|Online Certifications|Training Insitute|Online Institute|Online Training Institute|IT Institute|Professional Institute} in {1(dist)}





Our Categories



you’ll learn how to use python for professional programming. You will learn how to create a python application, and how to organize files and folders so that your code is easy to read and understand.


Data science

 Data science is a broad and ever-evolving field, with opportunities for specialists in many subject areas, as well as generalists who can apply data science techniques and tools to new fields.


Azure cloud

Cloud computing provides processing power and storage to millions of businesses and consumers. In this blog, we will discuss the importance of the cloud to businesses and consumers.


Web Designing

Web designing is the process of designing a website by using many different languages, software, and programs. To have an effective website, it should be easy to use, accessible 

Frequently Asked Questions

You should check the all out class plan with the goal that you find out about how long you will get for self-study and amendment. A few institutions can’t finish courses even 30 days before the classes, which makes it hard for understudies to change and practice those themes.

To address this inquiry appropriately, you should initially be clear about your own learning destinations. In the event that you don’t have the foggiest idea why you are joining to a program you should pause and respite. In the event that you are going to contribute an extra four to six hours per week on top of an all around occupied proficient and day to day life, wearing exercises and additionally different pastimes, you should initially be extremely clear on what you need from this experience.

A serious online learning provider will not leave you to your own devices. A self-study program that relies on you having an iron will to wade through multiple screens with no feedback or support mechanism is akin to watching paint dry and the chances are that you will not learn much. If, on the other hand, you have a coach who helps you reflect not only on what you have seen and read but, more importantly, on what you have applied, you’re well on the way from knowledge consumption to learning application.

A wretched program prompts inadequately inspired students and a shortage of gold awards. What’s a decent number? IMD’s open online projects have a fruition rate in overabundance of 90%. It’s uncommon that our students don’t finish and it’s considerably more extraordinary that they have not had an important learning experience

Our Services

IT Consulting

online training is the No.1 driving preparing foundation in Hyderabad offering end of the week preparation in Java, python, data science, azure cloud, web designing online training.

Classroom Training

We have the best workforce with great Lab Infrastructure alongside nitty gritty course material.

Online Training

We offer the greater part of the course online with virtual homeroom to serve the IT applicants. 

Corporate Training

We have encountered workforce to prepare experts for improving their innovation abilities to everyday necessities.

Project Training

Undertaking Training Get Trained from anyplace with an Internet association. Educators instruct understudies in a study hall and you can go to these courses online progressively too

SoftwareTraining is no1 Leading preparing Institute in Hyderabad offering study hall preparing on python, data science, azure cloud, web designing.


"In my set of experiences of working with career expo merchants, I can sincerely say that there isn't one organization that I've at any point worked with that has preferable help over Exhibit Systems."
Jack Wells
Foreign Move
"Exhibit Systems is not a provider. They are not a provider. They are a join forces with ability in making expos powerful."
James Roe
Condo Owner
"I have had encounters with other display organizations. At the point when I give Exhibit Systems a ten, I would give those others a two."
Carrie Nicks
Home Owner

About {1(name):uppercase_first_character_words} | {Online Trainings |IT Trainings|Software Trainings|Tech Trainings|Online Courses|Computer Courses|Professional Training|Computer Training|Professional Courses|Certification Courses|Online Certifications|Training Insitute|Online Institute|Online Training Institute|IT Institute|Professional Institute | Online Coaching | Coaching Institute | Best Training | Top Training} in {1(dist)}

{1(name)} Training {Highlights | Features}