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How to Prepare For AWS Certified Database - Specialty

Preparation Guide for AWS Certified Database - Specialty

Introduction for AWS Certified Database - Specialty

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

• Analyze needs and requirements to design and recommend appropriate database solutions using AWS services
• Understand and differentiate the key features of AWS database services.

Material offered by PassLeader helps you understand the evolving landscape of databases and what AWS services are available to use those databases. It also serves as an overview of the different skills and responsibilities a database specialist needs to know. You'll then be guided through several courses that go deeper into specific AWS database services to gain an in-depth understanding of when and how to best use each service. This knowledge is valuable for both real-life design and implementation as well as preparing to take the AWS Database Specialty Exam. Use our AMAZON DBS-C01 practice exams and AMAZON DBS-C01 practice exams to prepare in depth for the exam.

Recommended Knowledge and Experience for this exam:

• At least 2 years of hands-on experience working on AWS
• Experience and expertise working with on-premises and AWS-Cloud-based relational and nonrelational databases
• At least 5 years of experience with database technologies

Amazon AWS Certified Database - Specialty Exam

The AWS Certified Database - Specialty (DBS-C01) is designed for people who play a role based on the database. This exam measures the candidate's complete understanding of databases, including the concepts of design, migration, implementation, access, maintenance, automation, monitoring, security, and troubleshooting. Validate a candidate's ability to: Understand and differentiate the main features of AWS database services. Analyze the needs and requirements to design and recommend appropriate database solutions using AWS services.

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The benefit of obtaining the AWS Certified Database - Specialty Certification

The qualification as AWS Certified Database Specialist enables candidates to become experts in all facets as their expertise. Instead of waiting years and completing, AWS acredited development associate certifications provide a way to find a place in which you are involved without experience.

Amazon AWS Certified Database - Specialty (DBS-C01) Exam Sample Questions (Q68-Q73):

NEW QUESTION # 68
A company plans to use AWS Database Migration Service (AWS DMS) to migrate its database from one Amazon EC2 instance to another EC2 instance as a full load task. The company wants the database to be inactive during the migration. The company will use a dms.t3.medium instance to perform the migration and will use the default settings for the migration.
Which solution will MOST improve the performance of the data migration?

• A. Enable Multi-AZ on the target database while the full load task is in progress.
• B. Drop all indexes on the source tables.
• C. Change the processing mode from the batch optimized apply option to transactional mode.
• D. Increase the number of tables that are loaded in parallel.

Answer: B

Explanation:
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_BestPractices.html#CHAP_BestPractices.Performance For a full load task, we recommend that you drop primary key indexes, secondary indexes, referential integrity constraints, and data manipulation language (DML) triggers. Or you can delay their creation until after the full load tasks are complete. You don't need indexes during a full load task, and indexes incur maintenance overhead if they are present. Because the full load task loads groups of tables at a time, referential integrity constraints are violated. Similarly, insert, update, and delete triggers can cause errors, for example if a row insert is triggered for a previously bulk loaded table. Other types of triggers also affect performance due to added processing. https://docs.aws.amazon.com/dms/latest/userguide/CHAP_BestPractices.html

NEW QUESTION # 69
A company has an AWS CloudFormation template written in JSON that is used to launch new Amazon RDS for MySQL DB instances. The security team has asked a database specialist to ensure that the master password is automatically rotated every 30 days for all new DB instances that are launched using the template.
What is the MOST operationally efficient solution to meet these requirements?

• A. Integrate the Amazon RDS for MySQL DB instances with AWS IAM and centrally manage the master database user password.
• B. Create an AWS Lambda function to rotate the secret. Modify the CloudFormation template to add an AWS::SecretsManager::RotationSchedule resource. Configure the RotationLambdaARN value and, for the RotationRules property, set the AutomaticallyAfterDays parameter to 30.
• C. Modify the CloudFormation template to use the AWS KMS key as the database password. Configure an Amazon EventBridge rule to invoke the KMS API to rotate the key every 30 days by setting the ScheduleExpression parameter to ***/30***.
• D. Save the password in an Amazon S3 object. Encrypt the S3 object with an AWS KMS key. Set the KMS key to be rotated every 30 days by setting the EnableKeyRotation property to true. Use a CloudFormation custom resource to read the S3 object to extract the password.

Answer: B

Explanation:
Explanation
https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-secretsmanager-rotationsche

NEW QUESTION # 70
A manufacturing company has an. inventory system that stores information in an Amazon Aurora MySQL DB cluster. The database tables are partitioned. The database size has grown to 3 TB. Users run one-time queries by using a SQL client. Queries that use an equijoin to join large tables are taking a long time to run.
Which action will improve query performance with the LEAST operational effort?

• A. Migrate the database to a new Amazon Redshift data warehouse.
• B. Take a snapshot of the DB cluster. Create a new DB instance by using the snapshot, and enable parallel query mode.
• C. Add an Aurora read replica.
• D. Enable hash joins on the database by setting the variable optimizer_switch to hash_join=on.

Answer: D

Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/AuroraMySQL.BestPractices.html

NEW QUESTION # 71
A Database Specialist is migrating a 2 TB Amazon RDS for Oracle DB instance to an RDS for PostgreSQL DB instance using AWS DMS. The source RDS Oracle DB instance is in a VPC in the us-east-1 Region. The target RDS for PostgreSQL DB instance is in a VPC in the use-west-2 Region.
Where should the AWS DMS replication instance be placed for the MOST optimal performance?

• A. In the same Region and VPC as the target DB instance
• B. In the same VPC and Availability Zone as the source DB instance
• C. In the same VPC and Availability Zone as the target DB instance
• D. In the same Region and VPC of the source DB instance

Answer: C

Explanation:
Explanation
https://docs.aws.amazon.com/dms/latest/userguide/CHAP_ReplicationInstance.VPC.html#CHAP_ReplicationIn In fact, all the configurations list on above url prefer the replication instance putting into target vpc region / subnet / az.
https://docs.aws.amazon.com/dms/latest/sbs/CHAP_SQLServer2Aurora.Steps.CreateReplicationInstance.html

NEW QUESTION # 72
Amazon Neptune is being used by a corporation as the graph database for one of its products. During an ETL procedure, the company's data science team produced enormous volumes of temporary data by unintentionally. The Neptune DB cluster extended its storage capacity automatically to handle the added data, but the data science team erased the superfluous data.
What should a database professional do to prevent incurring extra expenditures for cluster volume space that is not being used?

• A. Export the cluster data into a new Neptune DB cluster.
• B. Add a Neptune read replica to the cluster. Promote this replica as a new primary DB instance. Reset the storage space of the cluster.
• C. Use the AWS CLI to turn on automatic resizing of the cluster volume.
• D. Take a snapshot of the cluster volume. Restore the snapshot in another cluster with a smaller volume size.

Answer: A

Explanation:
The only way to shrink the storage space used by your DB cluster when you have a large amount of unused allocated space is to export all the data in your graph and then reload it into a new DB cluster. Creating and restoring a snapshot does not reduce the amount of storage allocated for your DB cluster, because a snapshot retains the original image of the cluster's underlying storage.

NEW QUESTION # 73
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