Google Cloud Platform Certified Data Engineer Practice Tests
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Google Cloud Platform Certified Data Engineer Practice Tests

Test your Knowledge about Google Cloud Platform - Data Engineer
4.1 (5 ratings)
Instead of using a simple lifetime average, Udemy calculates a course's star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.
24 students enrolled
Last updated 8/2017
English
Google Cloud Platform Certified Data Engineer Practice Tests
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Current price: $10 Original price: $25 Discount: 60% off
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Includes:
  • 2 Practice Tests
  • Full lifetime access
  • Access on mobile
Included in This Course
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Practice Tests
2 Tests 65 questions

Google Cloud Certified Pro- Data Engineer Practice Test 1

Google Cloud Certified Pro- Data Engineer Practice Test 1
35 questions

Google Cloud Certified Pro- Data Engineer Practice Test2

Google Cloud Certified Pro- Data Engineer Practice Test2
30 questions
Description

These 50 questions are meant to test you at deep level of Data Engineering with GCP.  If you do well on these questions you should feel assured your knowledge level of the following is sufficient for passing. These questions are from experience with the exam are harder.  

 Here is the what the exam questions test on

Certification Exam Guide

Section 1: Designing data processing systems

1.1 Designing flexible data representations. Considerations include:

  • future advances in data technology
  • changes to business requirements
  • awareness of current state and how to migrate the design to a future state
  • data modeling
  • tradeoffs
  • distributed systems
  • schema design

1.2 Designing data pipelines. Considerations include:

  • future advances in data technology
  • changes to business requirements
  • awareness of current state and how to migrate the design to a future state
  • data modeling
  • tradeoffs
  • system availability
  • distributed systems
  • schema design
  • common sources of error (eg. removing selection bias)

1.3 Designing data processing infrastructure. Considerations include:

  • future advances in data technology
  • changes to business requirements
  • awareness of current state, how to migrate the design to the future state
  • data modeling
  • tradeoffs
  • system availability
  • distributed systems
  • schema design
  • capacity planning
  • different types of architectures: message brokers, message queues, middleware, service-oriented

Section 2: Building and maintaining data structures and databases

2.1 Building and maintaining flexible data representations

2.2 Building and maintaining pipelines. Considerations include:

  • data cleansing
  • batch and streaming
  • transformation
  • acquire and import data
  • testing and quality control
  • connecting to new data sources

2.3 Building and maintaining processing infrastructure. Considerations include:

  • provisioning resources
  • monitoring pipelines
  • adjusting pipelines
  • testing and quality control

Section 3: Analyzing data and enabling machine learning

3.1 Analyzing data. Considerations include:

  • data collection and labeling
  • data visualization
  • dimensionality reduction
  • data cleaning/normalization
  • defining success metrics

3.2 Machine learning. Considerations include:

  • feature selection/engineering
  • algorithm selection
  • debugging a model

3.3 Machine learning model deployment. Considerations include:

  • performance/cost optimization
  • online/dynamic learning

Section 4: Modeling business processes for analysis and optimization

4.1 Mapping business requirements to data representations. Considerations include:

  • working with business users
  • gathering business requirements

4.2 Optimizing data representations, data infrastructure performance and cost. Considerations include:

  • resizing and scaling resources
  • data cleansing, distributed systems
  • high performance algorithms
  • common sources of error (eg. removing selection bias)

Section 5: Ensuring reliability

5.1 Performing quality control. Considerations include:

  • verification
  • building and running test suites
  • pipeline monitoring

5.2 Assessing, troubleshooting, and improving data representations and data processing infrastructure.

5.3 Recovering data. Considerations include:

  • planning (e.g. fault-tolerance)
  • executing (e.g., rerunning failed jobs, performing retrospective re-analysis)
  • stress testing data recovery plans and processes

Section 6: Visualizing data and advocating policy

6.1 Building (or selecting) data visualization and reporting tools. Considerations include:

  • automation
  • decision support
  • data summarization, (e.g, translation up the chain, fidelity, trackability, integrity)

6.2 Advocating policies and publishing data and reports.

Section 7: Designing for security and compliance

7.1 Designing secure data infrastructure and processes. Considerations include:

  • Identify and Access Management (IAM)
  • data security
  • penetration testing
  • Separation of Duties (SoD)
  • security control

7.2 Designing for legal compliance. Considerations include:

  • legislation (e.g., Health Insurance Portability and Accountability Act (HIPAA), Children’s Online Privacy Protection Act (COPPA), etc.)
  • audits


I challenge you to test your knowledge.  If you get a 70% or better you should be ready to take this exam.  Good Luck

The Cloud Tech Guy

Who is the target audience?
  • Students who want to leverage Google Cloud Platform
Students Who Viewed This Course Also Viewed
Curriculum For This Course
+
Practice Tests
0 Lectures 65 questions

Google Cloud Certified Pro- Data Engineer Practice Test 1

Google Cloud Certified Pro- Data Engineer Practice Test 1
35 questions

Google Cloud Certified Pro- Data Engineer Practice Test2

Google Cloud Certified Pro- Data Engineer Practice Test2
30 questions
About the Instructor
Joseph Holbrook (The Cloud Tech Guy)
4.1 Average rating
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519 Students
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Cloud Computing Guru and Crypto Currency Investor/Trader

Joseph Holbrook(Certified Bitcoin Professional) CBP 
Technical Cloud Instructor & Active Crypto Currency Investor

Joe Holbrook is based out of Jacksonville, Florida. A small hick town on the northern border of Florida.  Joe has lived and worked in cities such as Boston, San Jose, San Diego, Washington, DC and Charleston, SC.  

Joe is an avid traveler and has been in over 42 countries... He is married with one child. 

Joseph Holbrook has been in the computer field since 1993 when he was exposed to several HPUX systems on board a US Navy flagship. He has migrated from UNIX world to Storage Area Networking(SAN) and Enterprise Virtualization and Cloud Architecture. He worked for numerous companies like HDS, 3PAR, Brocade, HP, EMC, Northrup Grumman, ViON, Ibasis dot net, Chematch dot com, SAIC, Signature Consultants, Global Knowledge and Dimension Data 

* Over 10+ years hands on experience with Storage, Security, Networking, Cloud and Virtualization technology as a Professional Services Lead/Pre-Sales Engineer

* Pre-Sales Engineer for major storage vendors which I designed over $26 million in mid –tier and enterprise storage, IT Security, Cloud and Data Center Networking deals.   

* Proven Leadership with technical teams in mega Meta SAN designs and implementations over 12 petabytes(Government and Financial) *  Published Brocade sponsored author in two EMC Proven Professional Knowledge Sharing Competitions.

* People focused, Deep expertise, highly regarded, proven projects and sales object focused around Enterprise Cloud  and Service Provider Architectures. 

He currently is a Subject Matter Expert/Technical Trainer specializing in Enterprise Cloud and IT Security focused on Google Cloud and AWS. 

Joe has over 90 Certifications and Accreditations. Some of them are as follows

* Certified AWS Amazon Web Services -SysOps Administrator Associate

* Brocade Certified Fabric Professional (BCFP)

* Brocade Certified SAN Manager (BCSM)

* Brocade Certified SAN Designer (BCSD)

* Brocade Certified Fabric Designer (BCFD) 

* Brocade Certified FCOE Professional (BCFCOEP)

* Brocade Certified Network Engineer (BCNE)

* Brocade Accredited Server Connectivity Specialist (BASCS)

* Brocade Accredited Data Center Specialist (BADCS)

* Brocade Accredited FCOE Professional (BAFCOEP)

* Brocade Distinguished Architect (BDA)

* CompTIA Cloud Essentials

* CompTIA Cloud +

* CompTA IT Fundamentals

* CompTIA Project+

* ComTIA Network +

* CompTIA Security +

* CompTIA Advanced Security Professional (CASP)

* CompTIA CTT+ Essentials

* Google Cloud Platform – Cloud Architect (GCP)

* Hitachi Data Systems Certified Implementer (HDNAS) HNAS * Hitachi Data Systems Certified Implementer (HDSCI) Modular and Enterprise * Hitachi Data Systems Certified Professional (HDSCP) Modular and Enterprise

* HIPPAA Certified HIPAA Privacy Associate (CHPA)

* Hitachi Data Systems (HDS) Certified Architect (Business Continuity)

* NetApp Certified Data Administrator (NCDA)

* NetApp Certified Implementation Engineer (NCIE) Backup & Recovery

* NetApp Certified Implementation Engineer (NCIE) SAN 

* SNIA Certified Storage Networking Expert (SCSN-E) (World Wide Achiever)

* SNIA Certified Storage Networking Professional (SCSN-P)

* SNIA  Certified Storage Networking Architect (SCSN-A)

* EMC Proven Professional SAN (EMCPP)

* EMC Business Partner Systems Engineer Technologies 2014 Accredition

* EMC VBlock Systems Foundation Associate

* EMC Proven Professional -  Big Data Associate (EMCBDA)

* EMC Proven Professional – Technical Architect – VNX (EMCTA)

* EMC Proven Professional -  Cloud Infrastructure and Services Associate (EMCCIS)

* EMC Proven Professional  - Cloud Architect Expert Level Certification (EMCCE).

* McData Certified Storage Management Professional (CMSP)

* Nutanix Platform Sales Representative – NPSR

* Nutanix Platform Sales Specialist – NPSS

* Nutanix Platform Sales Engineer Certification  NPSE

* Nutanix Platform Professional (NPP)

* HP ExpertONE HP0-J49 Designing and Implementing HP Cloud Solutions using HP 3PAR

* HP ExpertONE HP AIS - Network Infrastructure [2011].

* HP ExpertONE HPCT- HP Certified Trainer

* HP ExpertONE HP AIS – StorageWorks Integration [2011]

* HP ExpertONE HP ASE – StorageWorks Integration [2011]

* Intelisys Certfied Professional  - Cloud Computing Solutions.

* ITIL Foundation Certificate in IT Service Management V3

* ITIL Practioner  Certificate in IT Service Management V3

* Six Sigma Certified Green Belt

* VmWare Sales Professional (VSP) - Cloud Provider (CP)

* VmWare Technical Sales Professional (VSP) - Cloud Provider (CP)

* Veeam Sales Professional

* Veeam Technical Sales Professional

* VCPC510-VMware Certified Professional - Cloud-ENU


He is also an avid cryptocurrency technical trader and Dash/Ethereum/Bitcoin/Litecoin/Ripple enthusiast. Your can his Youtube channel as well for more information. 

Joe is a Certified Bitcoin Professional. (CBP) and is a Blockgeeks course developer as well.

Joe currently has been trading in Cryptos and has also been developing new training for his viewer base.

Feel free to reach out with any suggestion and feedback.

My goal is to provide you with the most updated content so if you see anything that should be reviewed please contact me.

I wish you great fortunes on your Altcoin investing and trading and also your Cloud careers as well...

Joe Holbrook

The Cloud Tech Guy