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It is advisable that the learners have to know the syllabus for the Amazon AWS Certified Database – Specialty certification exam to effectively prepare for it with ease. This test consists of 5 topics that are listed below:

Database Security (18%)
This part requires that the individuals know how to demonstrate their knowledge of evaluating auditing solutions, encrypting data in transit & at rest, determining access control as well as authentication mechanisms, and recognizing potential security vulnerability within the database solutions.
Monitoring and Troubleshooting (18%)
This objective revolves around the applicants’ proficiency in determining and monitoring strategies, optimizing database performance, as well as troubleshooting & resolving common database issues.
Workload-Specific Database Design (26%)
The first domain validates the students’ expertise in selecting correct database services for specific types of workloads & data, comparing the costs of database solutions, as well as designing a database solution for compliance, scalability & performance, and determining strategies for high availability & disaster recovery.
Deployment and Migration (20%)
Within the framework of this subject area, the candidates have to demonstrate their competence in deploying automate database solutions, executing & validating data migration, as well as determining data migration and data preparation strategies, among others.
Management & Operations (18%)
The questions of this topic evaluate the test takers’ skills in determining maintenance processes and tasks as well as restore and backup strategies and managing the operational environment of the database solution.

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Earning the AWS Certified Database - Specialty certification demonstrates your proficiency in AWS database services and enhances your credibility as a database professional. It also opens up new career opportunities and helps you gain recognition within the AWS community. Whether you're a database administrator, developer, or architect, taking the Amazon DBS-C01 Exam is a great way to validate your skills and advance your career in the cloud computing industry.

Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q133-Q138):

NEW QUESTION # 133
A company's database specialist disabled TLS on an Amazon DocumentDB cluster to perform benchmarking tests. A few days after this change was implemented, a database specialist trainee accidentally deleted multiple tables. The database specialist restored the database from available snapshots. An hour after restoring the cluster, the database specialist is still unable to connect to the new cluster endpoint.
What should the database specialist do to connect to the new, restored Amazon DocumentDB cluster?

A. Change the restored cluster's parameter group to the Amazon DocumentDB default parameter group.
B. Configure the interface VPC endpoint and associate the new Amazon DocumentDB cluster.
C. Change the restored cluster's parameter group to the original cluster's custom parameter group.
D. Run the syncInstances command in AWS DataSync.

Answer: C

Explanation:
You can't modify the parameter settings of the default parameter groups. You can use a DB parameter group to act as a container for engine configuration values that are applied to one or more DB instances. If you create a DB instance without specifying a DB parameter group, the DB instance uses a default DB parameter group. Each default DB parameter group contains database engine defaults and Amazon RDS system defaults. You can't modify the parameter settings of a default parameter group. Instead, you create your own parameter group where you choose your own parameter settings. Not all DB engine parameters can be changed in a parameter group that you create.

NEW QUESTION # 134
A Database Specialist is working with a company to launch a new website built on Amazon Aurora with several Aurora Replicas. This new website will replace an on-premises website connected to a legacy relational database. Due to stability issues in the legacy database, the company would like to test the resiliency of Aurora.
Which action can the Database Specialist take to test the resiliency of the Aurora DB cluster?

A. Use Aurora fault injection to crash the master DB instance
B. Use Aurora Backtrack to crash the DB cluster
C. Stop the DB cluster and analyze how the website responds
D. Remove the DB cluster endpoint to simulate a master DB instance failure

Answer: A

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Managing.FaultInjectionQueries.html
"You can test the fault tolerance of your Amazon Aurora DB cluster by using fault injection queries. Fault injection queries are issued as SQL commands to an Amazon Aurora instance and they enable you to schedule a simulated occurrence of one of the following events: A crash of a writer or reader DB instance A failure of an Aurora Replica A disk failure Disk congestion When a fault injection query specifies a crash, it forces a crash of the Aurora DB instance. The other fault injection queries result in simulations of failure events, but don't cause the event to occur. When you submit a fault injection query, you also specify an amount of time for the failure event simulation to occur for."

NEW QUESTION # 135
A Database Specialist is working with a company to launch a new website built on Amazon Aurora with several Aurora Replicas. This new website will replace an on-premises website connected to a legacy relational database. Due to stability issues in the legacy database, the company would like to test the resiliency of Aurora.
Which action can the Database Specialist take to test the resiliency of the Aurora DB cluster?

A. Use Aurora fault injection to crash the master DB instance
B. Use Aurora Backtrack to crash the DB cluster
C. Stop the DB cluster and analyze how the website responds
D. Remove the DB cluster endpoint to simulate a master DB instance failure

Answer: A

Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.Managing.FaultInjectionQue
"You can test the fault tolerance of your Amazon Aurora DB cluster by using fault injection queries. Fault injection queries are issued as SQL commands to an Amazon Aurora instance and they enable you to schedule a simulated occurrence of one of the following events: A crash of a writer or reader DB instance A failure of an Aurora Replica A disk failure Disk congestion When a fault injection query specifies a crash, it forces a crash of the Aurora DB instance. The other fault injection queries result in simulations of failure events, but don't cause the event to occur. When you submit a fault injection query, you also specify an amount of time for the failure event simulation to occur for."

NEW QUESTION # 136
A company has an ecommerce web application with an Amazon RDS for MySQL DB instance. The marketing team has noticed some unexpected updates to the product and pricing information on the website, which is impacting sales targets. The marketing team wants a database specialist to audit future database activity to help identify how and when the changes are being made.
What should the database specialist do to meet these requirements? (Choose two.)

A. Publish the database logs to Amazon CloudWatch Logs.
B. Create an RDS event subscription to the audit event type.
C. SSH to the DB instance and review the database logs.
D. Enable auditing of CONNECT and QUERY_DML events.
E. Enable Enhanced Monitoring on the DB instance.

Answer: A,D

Explanation:
https://aws.amazon.com/blogs/database/configuring-an-audit-log-to-capture-database-activities-for-amazon-rds-for-mysql-and-amazon-aurora-with-mysql-compatibility/

NEW QUESTION # 137
A database professional is developing an application that will respond to single-instance requests. The program will query large amounts of client data and offer end users with results.
These reports may include a variety of fields. The database specialist want to enable users to query the database using any of the fields offered.
During peak periods, the database's traffic volume will be significant yet changeable. However, the database will see little activity over the rest of the day.
Which approach will be the most cost-effective in meeting these requirements?