[35% Off] Google Cloud Professional Data Engineer (PDE) Practice Exams Course Coupon

Description

This course is a dedicated learning resource aimed at individuals preparing for the Google Cloud Professional Data Engineer certification exam or those expecting to sit for job interviews requiring extensive knowledge of the Google Cloud Platform (GCP). The course comprises a series of exhaustive practice exams that simulate the format and complexity of questions in the actual certification exam, thereby allowing learners to gauge their comprehension of GCP and experience conditions similar to the actual exam.

Each practice exam traverses a wide range of GCP topics, starting from foundational principles such as designing and building data processing systems and operationalizing machine learning models, to more intricate aspects like ensuring solution quality and managing data security and compliance. The questions are designed to probe both theoretical understanding and practical proficiency in engineering data solutions using GCP.

Upon completion of each exam, learners receive detailed explanations and solutions for every question, which enhances their learning journey and reinforces critical concepts. The course is designed for learners to attempt each exam multiple times, which facilitates progress tracking and identification of areas needing more focus.

The "Google Cloud Professional Data Engineer (PDE) Practice Exams" course is a vital tool for anyone gearing up for a GCP certification exam or a job interview. It efficiently pinpoints areas of strength and those that need further study. A robust understanding of GCP and data engineering principles is recommended for optimal learning outcomes.

Google Cloud Platform - Unleash the Potential of Cloud Innovation!

Google Cloud Platform (GCP) is a suite of cloud computing services offered by Google, providing a robust and scalable infrastructure for building, deploying, and managing applications and services. It offers a wide range of cloud-based services, including computing, storage, networking, databases, machine learning, and analytics.

With Google Cloud Platform, businesses and developers can leverage the power of Google's global infrastructure to build and run applications with high performance, reliability, and security. GCP provides a flexible and pay-as-you-go pricing model, enabling organizations to scale their resources up or down based on demand, optimizing cost efficiency.

GCP offers a comprehensive set of tools and services to support various application development and deployment needs. It provides infrastructure services like virtual machines, containers, and serverless computing, allowing developers to choose the most suitable environment for their applications.

Additionally, Google Cloud Platform incorporates advanced technologies such as BigQuery for big data analytics, AI and machine learning services through TensorFlow and AutoML, and extensive APIs for integrating with other Google services. GCP also provides tools for monitoring, logging, and managing applications, ensuring operational efficiency and reliability.

Furthermore, GCP emphasizes security and compliance, implementing robust measures to protect data and ensure regulatory compliance. It offers advanced security features, data encryption, identity management, and fine-grained access controls.

Overall, Google Cloud Platform empowers organizations to build scalable and innovative applications, leverage advanced data analytics and machine learning capabilities, and benefit from the reliable and secure infrastructure of Google's global network.

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

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 10 hours for questions in this course.

What result is required?

The required grade for each practice test is 70% correct answers.

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!