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Learn and get certified.

A Pack of 3 Courses of Google.


About Google Professional Collaboration Engineer (GCP)

Google Professional Collaboration Engineer exam has been built to transform business objectives into tangible configurations, policies, and security practices as they relate to users, content, and integrations. The exam look for opportunities to educate end users and increase operational efficiency while advocating for G Suite and the Google toolset.

Professional Collaboration Engineer transforms business objectives into tangible configurations, policies, and security practices as they relate to users, content, and integrations. Collaboration Engineers leverage their understanding of their organization’s mail routing and identity management infrastructure to enable efficient and secure communication and data access. Operating with an engineering and solutions mindset, they use tools, programming languages, and APIs to automate workflows. They look for opportunities to educate end users and increase operational efficiency while advocating for G Suite and the Google toolset.

Who should take the exam?

Google Professional Collaboration Engineer (GCP) exam is suitable for IT systems administrator, cloud solutions engineer, enterprise collaboration engineer, systems engineer. Collaboration Engineers are required to leverage their understanding of their organization’s mail routing and identity management infrastructure to enable efficient and secure communication and data access. Candidates are required to operate with an engineering and solutions mindset, as well as use tools, programming languages, and APIs to automate workflows.


Skills Measured

The Professional Collaboration Engineer exam assesses your ability to –

  • Plan and implement G Suite authorization and access

  • Manage user, resource, and Team Drive lifecycles

  • Manage mail

  • Control and configure G Suite services

  • Configure and manage endpoint access

  • Monitor organizational operations

  • Advance G Suite adoption and collaboration


    Exam Format

    • Exam Duration: 2 hours

    • Registration fee: $200 (plus tax where applicable)

    • exam Languages: English

    • Exam format: Multiple choice and multiple select, taken in person at a test center. Locate a test center near you.

    • Prerequisites: None

    • Recommended experience: 3+ years of industry experience including 1+ year G Suite administration experience.


    Course Highlights:

    • 1 Practice Exams

    • 77 Questions Total

    • Length: 3 hours

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Google Cloud Platform GCP is Fastest growing Public cloud.

Work on these total 203 Questions 1 practice tests to prepare yourself for Google Cloud Professional Data Engineer Certification exam which is one of Google Cloud’s top certifications.

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.

The Professional Data Engineer exam assesses your ability to:

  • Design data processing systems

  • Operationalize machine learning models

  • Ensure solution quality

  • Build and operationalize data processing systems

What kind of topics are Included in Practice Exams:


  • Compute and Storage – AppEngine, Container Enginer (aka Kubernetes) and Compute Engine

  • Big Data and Managed Hadoop – Dataproc, Dataflow, BigTable, BigQuery, Pub/Sub

  • TensorFlow on the Cloud – what neural networks and deep learning really are, how neurons work and how neural networks are trained.

  • DevOps stuff – StackDriver logging, monitoring, cloud deployment manager

  • Security – Identity and Access Management, Identity-Aware proxying, OAuth, API Keys, service accounts

  • Networking – Virtual Private Clouds, shared VPCs, Load balancing at the network, transport and HTTP layer; VPN, Cloud Interconnect and CDN Interconnect

  • Hadoop Foundations: A quick look at the open-source cousins (Hadoop, Spark, Pig, Hive and HBase)

Google Cloud : Professional Cloud Data Engineer Certification is the best to invest time and energy to scale your data storage & processing demand.

I am super exited to help you on your journey towards Google Cloud Professional Cloud Data Engineer Certification.

I created these exams keeping the Google Cloud Professional Data Engineer exam guide and a data architect with over 30 years of experience in databases, data architecture, and machine learning. These exams will help you to understand how to ingest data, creating data processing pipelines, work with both relational and NoSQL databases, design highly performant Bigtable, BigQuery, and Cloud Spanner databases, query Firestore databases, and create a Spark and Hadoop cluster using Cloud Dataproc and more.


    Course Highlights:

  • 1 Practice Exams

  • 205 Questions Total

  • Length: 6,5 hours

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Welcome to the Google Cloud Professional ML Engineer Practice Exam course. This course prepares you for the types of questions you will be asked and the timed environment of the actual exam. As with the actual exam, some questions have only one correct answer, while others require you to select two or three correct answers.

The Google Certified Associate Cloud Engineer exam is intended for professionals who deploy applications, monitor operations and manage enterprise solutions. These individuals are able to use Google Cloud Console and the command-line interface to perform common platform-based tasks to maintain one or more deployed solutions that leverage Google-managed or self-managed services on Google Cloud. Take your career and salary to the next level with a GCP Associate Cloud Engineer (ACE) certification!


The Professional Machine Learning Engineer exam assesses your ability to:

  • Frame ML problems

  • Architect ML solutions

  • Design data preparation and processing systems

  • Develop ML models

  • Automate and orchestrate ML pipelines

  • Monitor, optimize, and maintain ML solutions


Each area has the same emphasis as in the official Google Cloud Professional Machine Learning Engineer exam. You can take as much time as you want for each question, but you must have answered all questions on the test within the allotted time. Any questions that you do not answer in the allotted time will be marked as incorrect. You can skip questions during the exam and return to the skipped questions later. To pass the exam, you must score at least 70% in the entire exam. We advise our students to retake all our tests until you have consistently scored above 90% in each test. We also advise our students to read the detailed explanations of all answers, whether they are correct or incorrect. The exam is updated regularly to include the latest information and even more questions!


Course Highlights:

  • 1 Practice Exams

  • 60 Questions Total

  • Length: 2 hours

Good Luck.

Google-Pro Collaboration|Data|Machine Learning Engineer Exam

Learn and get certified.»

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