Welcome and good day this follow take a look at is for anybody need to show himself in GGoogle Professional Cloud Database Engineer Test

What’s the Google Professional Cloud Database Engineer ?

Professional Cloud Database Engineer

Certification examination information:

A Professional Cloud Database Engineer is a database skilled with two years of Google Cloud expertise and 5 years of total database and IT expertise. The Professional Cloud Database Engineer designs, creates, manages, and troubleshoots Google Cloud databases utilized by purposes to retailer and retrieve knowledge. The Professional Cloud Database Engineer must be comfy translating enterprise and technical necessities into scalable and cost-effective database options.

Part 1: Design scalable and extremely accessible cloud database options

1.1 Analyze related variables to carry out database capability and utilization planning. Actions embrace:

● Given a situation, carry out resolution sizing primarily based on present setting workload metrics and future necessities

● Consider efficiency and value tradeoffs of various database configurations (machine varieties, HDD versus SSD, and many others.)

● Measurement database compute and storage primarily based on efficiency necessities

1.2 Consider database excessive availability and catastrophe restoration choices given the necessities. Actions embrace:

● Consider tradeoffs between multi-region, area, and zonal database deployment methods

● Given a situation, outline upkeep home windows and notifications primarily based on software availability necessities

● Plan database upgrades for Google Cloud-managed databases

1.3 Decide how purposes will hook up with the database. Actions embrace:

● Design scalable, extremely accessible, and safe databases

● Configure community and safety (Cloud SQL Auth Proxy, CMEK, SSL certificates)

● Justify using session pooler companies

● Assess auditing insurance policies for managed companies

1.4 Consider acceptable database options on Google Cloud. Actions embrace:

● Differentiate between managed and unmanaged database companies (self-managed, naked steel, Google-managed databases and accomplice database choices)

● Distinguish between SQL and NoSQL enterprise necessities (structured, semi-structured, unstructured)

● Analyze the price of working database options in Google Cloud (comparative evaluation)

● Assess software and database dependencies

Part 2: Handle an answer that may span a number of database options

2.1 Decide database connectivity and entry administration concerns. Actions embrace:

● Decide Id and Entry Administration (IAM) insurance policies for database connectivity and entry management

● Handle database customers, together with authentication and entry

2.2 Configure database monitoring and troubleshooting choices. Actions embrace:

● Assess sluggish working queries and database locking and establish lacking indexes

● Monitor and examine database vitals: RAM, CPU storage, I/O, Cloud Logging

● Monitor and replace quotas

● Examine database useful resource rivalry

● Arrange alerts for errors and efficiency metrics

2.3 Design database backup and restoration options. Actions embrace:

● Given SLAs and SLOs, advocate backup and restoration choices (automated scheduled backups)

● Configure export and import knowledge for databases

● Design for restoration time goal (RTO) and restoration level goal (RPO)

2.4 Optimize database price and efficiency in Google Cloud. Actions embrace:

● Assess choices for scaling up and scaling out.

● Scale database situations primarily based on present and upcoming workload

● Outline replication methods

● Constantly assess and optimize the price of working a database resolution

2.5 Decide options to automate database duties. Actions embrace:

● Carry out database upkeep

● Assess desk fragmentation

● Schedule database exports

Part 3: Migrate knowledge options

3.1 Design and implement knowledge migration and replication. Actions embrace:

● Develop and execute migration methods and plans, together with zero downtime, near-zero downtime, prolonged outage, and fallback plans

● Reverse replication from Google Cloud to supply

● Plan and carry out database migration, together with fallback plans and schema conversion

● Decide the right database migration instruments for a given situation

Part 4: Deploy scalable and extremely accessible databases in Google Cloud

4.1 Apply ideas to implement extremely scalable and accessible databases in Google Cloud. Actions embrace:

● Provision excessive availability database options in Google Cloud

● Test excessive availability and catastrophe restoration methods periodically

● Arrange multi-regional replication for databases

● Assess necessities for learn replicas

● Automate database occasion provisioning

This examination format:

Size: 120 min

Language: English

Variety of questions: 50 a number of selection and a number of choose questions

Passing scor: 70%

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