Happy to announce the launch of the Google Cloud SQL – Deep Dive Training Course. The course is intended for the Google Cloud data professionals who are preparing for the Google Cloud Certified Data Engineer certification exam. Let’s get into the details of the course!
Google Cloud Platform, after its launch in 2012, has carved a unique journey in the world of technology. It has provided many unique cloud-based offerings to enterprises all over the world. Therefore, you can clearly notice the demand for Google Cloud certified professionals in the existing job market.
Keeping up with the demand for knowledge regarding GCP technologies, products, and services, we bring the new Google Cloud SQL- Deep Dive Training Course. This new training course would help candidates strengthen their preparations for the GCP Professional Data Engineer certification exam.
Enroll Now: Google Cloud SQL Training Course
The following discussion aims at pointing out the details of the Google Cloud Certified Professional Data Engineer certification, such as requirements and domains covered in the exam. However, the most prominent highlight of this discussion would be the description of contents in our new Google Cloud SQL training course.
Google Cloud Professional Data Engineer Certification Exam
The new Google Cloud SQL- Deep Dive Training Course by Whizlabs is a suitable tool to prepare for the GCP Professional Data Engineer certification exam. The exam tests the capabilities of candidates in making data-driven decisions through the collection, transformation, and publishing of data.
Most important of all, the GCP Professional Data Engineer certification exam tests the ability of candidates in designing, building, operations, securing, and monitoring data processing systems. In addition, the Google Cloud Data Engineer should also focus considerably on security, portability, compliance, reliability, flexibility, scalability, efficiency, and fidelity.
Target Audience for the Exam
The ideal candidates for the GCP Professional Data Engineer exam are cloud professionals aspiring for data-driven roles. As you can see above, the job role of a GCP professional data engineer involves a considerable emphasis on the collection and modification of data. Therefore, candidates for the exam should have promising fluency in the management of databases. So, our new Google Cloud SQL training course is suitable for individuals aspiring for the job role of a GCP data engineer.
Requirements for the Exam
The requirements for the Google Cloud Certified Professional Data Engineer certification exam include the following.
- Minimum industry experience of over three years.
- Minimum experience of more than one year in the design and management of solutions using GCP.
The total duration of the Google Cloud Certified professional data engineer certification exam is 2 hours. The registration fee for the exam is $200 USD alongside additional taxes. The format of the exam would include multiple-choice and multiple-select questions, and candidates should take the exam at a testing center. The exam will be available in four languages, such as English, Portuguese, Spanish, and Japanese. Candidates should also note that there are no specific prerequisites for the exam.
Preparing for the Google Cloud Certified Professional Data Engineer exam? Follow this comprehensive Google Cloud Data Engineer Exam Preparation Guide and get yourself ready for the exam!
Domains Covered in the Exam
Before highlighting the essential details of our new Google Cloud SQL- Deep Dive Training Course, it is important to uncover the important highlights of the GCP professional data engineer certification exam. The domains covered in the exam test the specific abilities that GCP professional data engineers need in their job role. Here are the abilities that the GCP professional data engineer certification exam tests in candidates.
- Designing data processing systems.
- Creation and ensuring operations of data processing systems.
- Enabling the operations of machine learning models.
- Ensuring solution quality.
A closer reflection at the domains covered in the exam could show how our Google Cloud SQL online course can help candidates.
Designing Data Processing Systems
The major subtopics in this domain include the following:
- Selection of appropriate storage technologies
- Design of data pipelines
- Design of data processing solutions
- Migration of data warehousing and data processing
Creation and Ensuring the Operations of Data Processing Systems
The subtopics in this domain include the following:
- Development and ensuring operations of storage systems
- Developing and ensuring operations of pipelines
- Creating and ensuring operations of processing infrastructure
Ensuring the Operations of Machine Learning Models
The subtopics in this domain include the following:
- Using pre-built machine learning models as a service
- Deployment of a machine learning pipeline
- Selection of proper training and service infrastructure
- Measurement, monitoring, and troubleshooting for machine learning models
Ensuring Solution Quality
The subtopics in this domain include the following:
- Designing with security and compliance considerations
- Ensuring scalability and efficiency
- Ensuring reliability and fidelity
- Ensuring flexibility and portability
Whizlabs Google Cloud SQL- Deep Dive Training Course
Our new Google Cloud SQL Deep Dive Online Course is a great alternative to take your preparations to the next level. This 3+ hours of video course is helpful for candidates to learn more about the creation and management of instances connected to a Cloud SQL instance replication. In addition, the course also helps candidates learn about troubleshooting issues in data management. The course has inputs from the best subject matter experts on Google Cloud SQL, thereby enhancing its efficiency. Here is a simple outline of the new Whizlabs Google Cloud SQL online course.
Chapter |
Duration of Training Video |
|
Introduction |
00:16:00 minutes |
|
MySQL 1 |
00:19:40 minutes |
|
MySQL 2 |
00:13:52 minutes |
|
MySQL 3 |
Coming Soon |
|
PostgreSQL |
00:09:58 minutes |
|
SQL Server |
00:10:53 minutes |
|
Demo mysql1 |
00:27:57 minutes |
|
Demo mysql2 |
00:26:18 minutes |
|
Demo postgres |
00:16:53 minutes |
|
Demo sqlserver |
00:15:46 minutes |
Also Check: Google Cloud Platform Cheat Sheet
Why Should You Choose the New Whizlabs Google Cloud SQL Training Course?
The new detailed Google Cloud SQL course on Whizlabs can offer considerable benefits to aspiring GCP professional data engineers. As you can see above, the course covers all aspects related to SQL database management on Google Cloud Platform. The interesting thing about the new course is that candidates could use it as a catalyst for their preparations without having to compromise with online training for other domains of the exam. Candidates could use the Google Cloud SQL- Deep Dive Training Course to understand the basics of SQL on the cloud. In addition, the training course also ensures multiple benefits for candidates, such as the following.
-
Comprehensive Coverage in Limited Time
Complete coverage of all topics with training videos having a total duration of just over three hours. The limited-time duration of the training videos offers you the opportunity to complete the course conveniently. Candidates can complete all topics of the detailed Google Cloud SQL course one by one by investing limited time every day.
-
Freedom of Accessibility
Candidates could access the Whizlabs Google Cloud SQL- Deep Dive Training Course anytime, anywhere after purchasing the course. Therefore, you don’t have to be limited to the boundaries of time for learning about Google Cloud SQL. The flexibility of accessing the course provides promising assistance to candidates for enriching their knowledge.
-
Expert Guidance
The new Google Cloud SQL- Deep Dive Training Course is the outcome of the efforts of multiple subject matter experts. Therefore, candidates can get the most promising and contextually relevant instructions and teach in the new course. Most important of all, candidates have the option of learning from the best in the business. The subject matter experts also explain every topic in detail alongside ensuring helpful explanations of demos for the teachings.
-
Assurance of Refunds
Apart from the comprehensive coverage of all topics related to Google Cloud SQL, the new Google Cloud SQL- Deep Dive Training Course offers a 100% moneyback guarantee. Therefore, candidates could claim a refund on the new course if they are not able to gain desired results. As a result, you have a valid reason to try out the course for learning about Google Cloud SQL. Even if you don’t succeed in learning about Google Cloud SQL from the course, you can get your money back.
-
Compatibility with Device Platforms
Finally, the compatibility of the course with all types of device platforms is a promising benefit for students. The easy access to the course on major device platforms such as PC, Mac, Android, iPhone, or iPad devices is a noticeable feature of the course. With the help of this unique feature, candidates don’t have to worry about hardware specifications for learning. Subsequently, students of all categories can easily access the course without any hassles.
Therefore, you can clearly note that the new Google Cloud SQL- Deep Dive Training Course aims at helping candidates prepare for the GCP professional data engineer certification exam. The course covers all essentials of Google Cloud SQL, such as SQL instance replication and resolution of data management issues.
Since the course is very flexible and is available at a very reasonable price, candidates can easily include this course in their preparations. Another crucial aspect pertaining to the course is the facility of a moneyback guarantee. So, you can easily top up your preparations for GCP professional data engineer certification with the new course effectively.
Ready to Learn All About Google Cloud SQL?
Now, you can clearly note that the new Google Cloud SQL- Deep Dive Training Course is very helpful. Most important of all, candidates could gain promising advantages from the course to address their preparations for the GCP data engineer exam. However, candidates should also follow the recommended best practices to ensure the best preparations.
For example, following the study guide, enrolling for official online training courses and practice tests can be helpful preparatory measures. Apart from these methods, candidates could also utilize the insights from the learning community of GCP certification aspirants. So, enroll in the new Google Cloud SQL course by Whizlabs right now and brighten your future!
- Top 20 Questions To Prepare For Certified Kubernetes Administrator Exam - August 16, 2024
- 10 AWS Services to Master for the AWS Developer Associate Exam - August 14, 2024
- Exam Tips for AWS Machine Learning Specialty Certification - August 7, 2024
- Best 15+ AWS Developer Associate hands-on labs in 2024 - July 24, 2024
- Containers vs Virtual Machines: Differences You Should Know - June 24, 2024
- Databricks Launched World’s Most Capable Large Language Model (LLM) - April 26, 2024
- What are the storage options available in Microsoft Azure? - March 14, 2024
- User’s Guide to Getting Started with Google Kubernetes Engine - March 1, 2024
