Ace the Google Professional Cloud Database Engineer Exam with Edurely pdf Dumps 2024 

Acing the Google Professional Cloud Database Engineer exam can be a daunting task for many. However, using Edurely Dumps can make the process much easier. Edurely is a reliable and comprehensive database of practice questions and answers that have been designed to help you prepare for the exam. 

With Edurely dumps, you can get a better understanding of the exam’s content, structure, and format. The database contains questions that have been used in the actual exam and are presented in various formats and levels of difficulty. This helps you not only learn the material but also to get used to the exam’s format.

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Prepare for the Google Professional Cloud Database Exam with Edurely Dumps

The Google Professional Cloud Database Exam is a challenging and highly sought-after certification that demonstrates a candidate’s knowledge and expertise in using Google Cloud’s database technologies. To prepare for this exam, it is important to have a strong foundation in database concepts, as well as hands-on experience working with Google Cloud’s database offerings. One way to help ensure a successful exam experience is to use Edurely dumps as a study resource.

Edurely dumps are a type of study material that contain a collection of questions and answers that are likely to be included on the Google Professional Cloud Database Exam. These dumps are typically created by experts, who want to share their knowledge and experience with those who are preparing to take the exam. By studying these dumps, candidates can get a sense of the types of questions that will be asked on the exam, as well as the level of difficulty of the material.

In order to truly prepare for the Google Professional Cloud Database Exam, candidates should study the official exam guide and practice using Google Cloud’s database technologies in a real-world setting. By combining the use of Edurely dumps with other study methods, candidates can give themselves the best chance of success on the exam.

About Google professional Cloud Database Engineer Certification Exam:

A Professional Cloud Database Engineer is a database professional with two years of Google Cloud experience and five years of overall database and IT experience. The Professional Cloud Database Engineer designs create, manages, and troubleshoots Google Cloud databases used by applications to store and retrieve data.

 The Professional Cloud Database Engineer should be comfortable translating business and technical requirements into scalable and cost-effective database solutions. 

The Professional Cloud Database Engineer exam assesses your ability to:

• Design scalable and highly available cloud database solutions
• Manage a solution that can span multiple database solutions
• Migrate data solutions
• Deploy scalable and highly available databases in Google Cloud

Exam Details:

• Length: 2 hours
• Registration fee: $200 (plus tax where applicable)
• Language: English 
• Exam format: 50-60 multiple choice and multiple select questions
• Exam Delivery Method:

1. Take the online-proctored exam from a remote location. 
2. Take the onsite-proctored exam at a testing center.  

• Prerequisites: None
• Recommended experience: 5+ years of overall database and IT experience, including 2 years of hands-on experience working with Google Cloud database solutions

Course Content:

Section 1: Design scalable and highly available cloud database solutions

1.1 Analyze relevant variables to perform database capacity and usage planning. Activities include:

• Given a scenario, perform solution sizing based on current environment workload metrics and future requirements
• Evaluate performance and cost tradeoffs of different database configurations (machine types, HDD versus SSD, etc.)
• Size database compute and storage based on performance requirements

1.2 Evaluate database high availability and disaster recovery options given the requirements. Activities include:

• Evaluate tradeoffs between multi-region, region, and zonal database deployment strategies
• Given a scenario, define maintenance windows and notifications based on application availability requirements
• Plan database upgrades for Google Cloud-managed databases

1.3 Determine how applications will connect to the database. Activities include:

• Design scalable, highly available, and secure databases
• Configure network and security (Cloud SQL Auth Proxy, CMEK, SSL certificates)
• Justify the use of session pooler services
• Assess auditing policies for managed services

1.4 Evaluate appropriate database solutions on Google Cloud. Activities include:

• Differentiate between managed and unmanaged database services (self-managed, bare metal, Google-managed databases and partner database offerings)
• Distinguish between SQL and NoSQL business requirements (structured, semi-structured, unstructured)
• Analyze the cost of running database solutions in Google Cloud (comparative analysis)
• 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:

• Determine Identity and Access Management (IAM) policies for database connectivity and access control
• Manage database users, including authentication and access

2.2 Configure database monitoring and troubleshooting options. Activities include:

• Assess slow running queries and database locking and identify missing indexes
• Monitor and investigate database vitals: RAM, CPU storage, I/O, Cloud Logging
• Monitor and update quotas
• Investigate database resource contention
• Set up alerts for errors and performance metrics

2.3 Design database backup and recovery solutions. Activities include: 

• Given SLAs and SLOs, recommend backup and recovery options (automatic scheduled backups)
• Configure export and import data for databases
• Design for recovery time objective (RTO) and recovery point objective (RPO)

2.4 Optimize database cost and performance in Google Cloud. Activities include:

• Assess options for scaling up and scaling out.
• Scale database instances based on current and upcoming workload
• Define replication strategies
• continuously assess and optimize the cost of running a database solution

2.5 Determine solutions to automate database tasks. Activities include:

• Perform database maintenance
• Assess table fragmentation
• Schedule database exports

Section 3: Migrate data solutions

3.1 Design and implement data migration and replication. Activities include:

• Develop and execute migration strategies and plans, including zero downtime, near-zero downtime, extended outage, and fallback plans
• Reverse replication from Google Cloud to source
• Plan and perform database migration, including fallback plans and schema conversion
• 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:

• Provision high availability database solutions in Google Cloud
• Test high availability and disaster recovery strategies periodically
• Set up multi-regional replication for databases
• Assess requirements for reading replicas
• Automate database instance provisioning

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