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Exam Code: AWS-CDBS Practice test 2022 by team
AWS-CDBS AWS Certified Database-Specialty (DBS-C01)

Format : Multiple choice, multiple answer
Type : Specialty
Delivery Method : Testing center or online proctored exam
Time : 180 minutes to complete the exam

The AWS Certified Database - Specialty (DBS-C01) examination is intended for individuals who perform in a database-focused role. This test validates an examinees comprehensive understanding of databases, including the concepts of design, migration, deployment, access, maintenance, automation, monitoring, security, and troubleshooting.

Response Types
There are two types of questions on the examination:
 Multiple choice: Has one correct response and three incorrect responses (distractors).
 Multiple response: Has two or more correct responses out of five or more options.
Select one or more responses that best complete the statement or answer the question. Distractors, or incorrect answers, are response options that an examinee with incomplete knowledge or skill would likely choose. However, they are generally plausible responses that fit in the content area defined by the test objective.
Unanswered questions are scored as incorrect; there is no penalty for guessing.

The AWS Certified Database - Specialty (DBS-C01) examination is a pass or fail exam. The examination is scored against a minimum standard established by AWS professionals who are guided by certification industry best practices and guidelines.
Your results for the examination are reported as a score from 100–1,000, with a minimum passing score of 750. Your score shows how you performed on the examination as a whole and whether or not you passed. Scaled scoring models are used to equate scores across multiple test forms that may have slightly different difficulty levels.
Your score report contains a table of classifications of your performance at each section level. This information is designed to provide general feedback concerning your examination performance. The examination uses a compensatory scoring model, which means that you do not need to “pass” the individual sections, only the overall examination.

Domain 1: Workload-Specific Database Design 26%
Domain 2: Deployment and Migration 20%
Domain 3: Management and Operations 18%
Domain 4: Monitoring and Troubleshooting 18%
Domain 5: Database Security 18%
TOTAL 100%

Domain 1: Workload-Specific Database Design
1.1 Select appropriate database services for specific types of data and workloads
1.2 Determine strategies for disaster recovery and high availability
1.3 Design database solutions for performance, compliance, and scalability
1.4 Compare the costs of database solutions
Domain 2: Deployment and Migration
2.1 Automate database solution deployments
2.2 Determine data preparation and migration strategies
2.3 Execute and validate data migration
Domain 3: Management and Operations
3.1 Determine maintenance tasks and processes
3.2 Determine backup and restore strategies
3.3 Manage the operational environment of a database solution
Domain 4: Monitoring and Troubleshooting
4.1 Determine monitoring and alerting strategies
4.2 Troubleshoot and resolve common database issues
4.3 Optimize database performance
Domain 5: Database Security
5.1 Encrypt data at rest and in transit
5.2 Evaluate auditing solutions
5.3 Determine access control and authentication mechanisms
5.4 Recognize potential security vulnerabilities within database solutions

AWS Certified Database-Specialty (DBS-C01)
Amazon Database-Specialty availability
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Gartner’s latest research assessing the market for smaller cloud providers has highlighted shortcomings in hyperscalers’ support for small and medium-sized entrprises (SMEs) and businesses on a tight budget.

In June, Gartner reported that in 2021, the top five infrastructure-as-a-service (IaaS) providers accounted for more than 80% of the market. The analyst firm reported that the worldwide IaaS market grew by 41.4% in 2021 to total $90.9bn, up from $64.3bn in 2020.

Gartner’s data on worldwide IT spending reveals that price increases and delivery uncertainty, exacerbated by Russia’s invasion of Ukraine, have accelerated the transition in purchasing preference among CIOs, and enterprises in general, from ownership to service – pushing cloud spending to 18.4% growth in 2021 and expected growth of 22.1% in 2022.

Of the overall amount being spent on public cloud platforms and IT infrastructure, a relatively small percentage, valued at $3.3bn, is being diverted from the hyperscalers to more specialist cloud infrastructure and platform providers. These specialty providers typically compete by focusing on lower cost, a specific geographic area, a specific set of IT and business use cases, or a specific type of hardware infrastructure.

Data sovereignty is one of the main reasons IT leaders opt for a specialist cloud provider. Global organisations that need to comply with their country’s data privacy or residency laws are unable to use public clouds that live in other geographic regions.

According to Gartner, global hyperscale cloud infrastructure and platform service providers, such as Amazon Web Services and Microsoft Azure, do not typically offer services customised to specific geographic regions and cultures. They expect local customers to adopt a “one size fits all” approach to cloud computing.

In Gartner’s Market guide for specialty cloud providers report, analysts warned that the vast range of services available through the hyperscalers make their platforms difficult to navigate and master. “They can appear overwhelming to customers with specific, limited needs,” wrote analysts David Wright, Raj Bala and Elaine Zhang, authors of the report.

This is especially true in smaller businesses. While SME customers tend to adopt software as a service (SaaS), some require basic IaaS and platform as a service (PaaS) at a low list price. However, Gartner found that the tools hyperscalers provide can become prohibitive.

“When all of a hyperscaler’s development and testing tools are used together, the combined cost can be too high for developers on a tight budget,” wrote the report’s authors.

Edge computing is another area where the hyperscalers may not always be the best choice for IT leaders. Gartner’s analysis found that outside of datacentres, at the network edge, the services of the hyperscalers can be harder to integrate and operate.

As a result, Gartner said enterprises with complex system requirements at their network edges, in areas such as industrial automation, digital health and smart vehicles, are turning to bare-metal and edge cloud providers that can deliver cloud infrastructure and platform capacity from more varied and precise network locations.

Although many industry-specific workloads still run on-premise, Gartner’s research has found that so-called specialty “industry cloud” providers have not materialised as a viable migration destination for these workloads. The report’s authors said that currently, vertical industry needs are being met by system integrators (SIs) and application independent software vendors (ISVs) working with the industry-specific options available from the hyperscalers.

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