New Google Professional Cloud Database Engineer Exam Launched

New Google Professional Cloud Database Engineer Exam Launched

If you work with structured data in the Google Cloud Platform or would like to, you might be interested in Google’s new Professional Cloud Database Engineer certification, which is currently in beta. A person with this qualification “designs, creates, manages, and troubleshoots Google Cloud databases used by applications to store and retrieve data,” according to Google. Furthermore, they “must be at ease translating business and technical requirements into scalable and cost-effective database solutions.” Let us look at New Google Professional Cloud Database Engineer Exam Launched.
About the exam
Professional Cloud Database Engineer is a database professional with two years of experience in Google Cloud and five years of overall database and IT experience. The Professional Cloud Database Engineer creates, manages, and troubleshoots Google Cloud databases, which are used by applications to store and retrieve data. The Professional Cloud Database Engineer must be able to translate business and technical requirements into scalable and cost-effective database solutions.
Exam Details
4 hours is the total duration of the exam.The registration fee is $120. (plus tax where applicable)The language is English.Multiple-choice and multiple-select examination formatsMethod of Exam Delivery:a. Take the proctored online exam from a remote location.b. Attend an onsite-proctored exam at a testing facility.There are no prerequisites.5+ years of overall database and IT experience, including 2 years of hands-on experience working with Google Cloud database solutions, is preferred.
Course Outline
These are the following domains that the exam will be covering –
Section 1: Design scalable and highly available cloud database solutions
1.1 Analyze relevant variables to perform database capacity and usage planning. Activities include:
    a. Given a scenario, perform solution sizing based on current environment workload metrics and future requirements    b. also, Evaluate performance and cost tradeoffs of different database configurations (machine types, HDD versus SSD, etc.)    c. furthermore, Size database compute and storage based on performance requirements
1.2 Evaluate database high availability and disaster recovery options gave the requirements. Activities include:
    a. Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies    b. also, Given a scenario, define maintenance windows and notifications based on application availability requirements    c. furthermore, Plan database upgrades for Google Cloud-managed databases
1.3 Determine how applications will connect to the database. Activities include:
    a. Design scalable, highly available, and secure databases    b. also, Configure network and security (Cloud SQL Auth Proxy, CMEK, SSL certificates)    c. furthermore, Justify the use of session pooler services    d. moreover, Assess auditing policies for managed services
1.4 Evaluate appropriate database solutions on Google Cloud. Activities include:
    a. Differentiate between managed and unmanaged database services (self-managed, bare metal, Google-managed databases, and partner database offerings)    b. also, Distinguish between SQL and NoSQL business requirements (structured, semi-structured, unstructured)    c. furthermore, Analyze the cost of running database solutions in Google Cloud (comparative analysis)    d. moreover, Assess application and database dependencies
Section 2: Manage a solution that can span multiple database solutions
2.1 Determine database connectivity and access management considerations. Activities include:
    a. Determine Identity and Access Management (IAM) policies for database connectivity and access control    b. also, Manage database users, including authentication and access
2.2 Configure database monitoring and troubleshooting options. Activities include:
    a. Assess slow running queries and database locking and identify missing indexes    b. also, Monitor and investigate database vitals: RAM, CPU storage, I/O, Cloud Logging    c. furthermore, Monitor and update quotas    d. moreover, Investigate database resource contention    e. also, Set up alerts for errors and performance metrics
2.3 Design database backup and recovery solutions. Activities include: 
    a. Given SLAs and SLOs, recommend backup and recovery options (automatic scheduled backups)    b. also, Configure export and import data for databases    c. furthermore, Design for recovery time objective (RTO) and recovery point objective (RPO)
2.4 Optimize database cost and performance in Google Cloud. Activities include:
    a. Assess options for scaling up and scaling out.    b. also, Scale database instances based on current and upcoming workload    c. furthermore, Define replication strategies    d. moreover, Continuously assess and optimize the cost of running a database solution
2.5 Determine solutions to automate database tasks. Activities include:
    a. Perform database maintenance    b. also, Assess table fragmentation    c. furthermore, Schedule database exports
Section 3: Migrate data solutions
3.1 Design and implement data migration and replication. Activities include:
    a. also, Develop and execute migration strategies and plans, including zero downtime, near-zero downtime, extended outage, and fallback plans    b. furthermore, Reverse replication from Google Cloud to source    c. moreover, Plan and perform database migration, including fallback plans and schema conversion    d. also, Determine the correct database migration tools for a given scenario 
Section 4: Deploy scalable and highly available databases in Google Cloud
4.1 Apply concepts to implement highly scalable and available databases in Google Cloud. Activities include:
    a. Provision high availability database solutions in Google Cloud    b. also, Test high availability and disaster recovery strategies periodically    c. furthermore, Set up multi-regional replication for databases    d. moreover, Assess requirements for reading replicas    e. also, Automate database instance provisioning
Why should you take the beta exam?
Six to eight weeks after the beta period ends, participants are notified of their exam results. To obtain this certification, you must pass the Professional Cloud Database Engineer beta exam.
Why is beta used?
Become Google Cloud CertifiedIf you pass the beta exam, you can claim a low certificate number.Also, Reduce the cost of certification by 40%.Furthermore, Beta exam attempts are permitted with vouchers.Moreover, Does not count toward the total number of exam attempts allowed.Also, Purchase Google-branded apparel.
Study resources for the exam
You can refer to the following resources for clearing the exam –
Google Cloud Free Tier
The Google Cloud Free Tier gives the candidate access to free resources for researching Google Cloud services. This is especially beneficial for candidates who are new to the platform and need to learn the fundamentals. On the other hand, if you’re an existing customer looking to try out new solutions, the Google Cloud Free Tier has you covered.
Study Groups
Candidates may benefit from online study groups when studying for exams. Joining study groups, in other words, will keep you in touch with experts and professionals who have previously walked this path. This group can also be used to discuss and study for any test-related issues or problems.
Practice tests
Finally, it’s time to assess oneself. Take it from us: self-evaluation is the final step toward success. As a result, Google Cloud Certified Professional Data Engineer Practice Exams are all that you require. It is better for you to practice as much as possible. It not only helps you understand where you are lacking, but it also ensures you are improving your skills. So, keep taking as many practice tests as you can.
Hurry up and start preparing with the help of the amazing resources available at TPT!

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