DBS-C01 実際試験問題と解答 - 模擬練習 - 受験自信を増やす

Question No : 1
A company has a web-based survey application that uses Amazon DynamoDB. During peak usage, when survey responses are being collected, a Database Specialist sees the ProvisionedThroughputExceededException error.
What can the Database Specialist do to resolve this error? (Choose two.)

A.Change the table to use Amazon DynamoDB Streams
B.Purchase DynamoDB reserved capacity in the affected Region
C.Increase the write capacity units for the specific table
D.Change the table capacity mode to on-demand
E.Change the table type to throughput optimized

正解:
Explanation:
https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/switching.capacitymode.html

Question No : 2
A company just migrated to Amazon Aurora PostgreSQL from an on-premises Oracle database. After the migration, the company discovered there is a period of time every day around 3:00 PM where the response time of the application is noticeably slower. The company has narrowed down the cause of this issue to the database and not the application.
Which set of steps should the Database Specialist take to most efficiently find the problematic PostgreSQL query?

A.Create an Amazon CloudWatch dashboard to show the number of connections, CPU usage, and disk space consumption. Watch these dashboards during the next slow period.
B.Launch an Amazon EC2 instance, and install and configure an open-source PostgreSQL monitoring tool that will run reports based on the output error logs.
C.Modify the logging database parameter to log all the queries related to locking in the database and then check the logs after the next slow period for this information.
D.Enable Amazon RDS Performance Insights on the PostgreSQL database. Use the metrics to identify any queries that are related to spikes in the graph during the next slow period.

正解:

Question No : 3
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.Stop the DB cluster and analyze how the website responds
B.Use Aurora fault injection to crash the master DB instance
C.Remove the DB cluster endpoint to simulate a master DB instance failure
D.Use Aurora Backtrack to crash the DB cluster

正解:
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."

Question No : 4
A company is going to use an Amazon Aurora PostgreSQL DB cluster for an application backend. The DB cluster contains some tables with sensitive data. A Database Specialist needs to control the access privileges at the table level.
How can the Database Specialist meet these requirements?

A.Use AWS IAM database authentication and restrict access to the tables using an IAM policy.
B.Configure the rules in a NACL to restrict outbound traffic from the Aurora DB cluster.
C.Execute GRANT and REVOKE commands that restrict access to the tables containing sensitive data.
D.Define access privileges to the tables containing sensitive data in the pg_hba.conf file.

正解:
Explanation:
Reference: https://aws.amazon.com/blogs/database/managing-postgresql-users-and-roles/

Question No : 5
A company wants to automate the creation of secure test databases with random credentials to be stored safely for later use. The credentials should have sufficient information about each test database to initiate a connection and perform automated credential rotations. The credentials should not be logged or stored anywhere in an unencrypted form.
Which steps should a Database Specialist take to meet these requirements using an AWS CloudFormation template?

A.Create the database with the MasterUserName and MasterUserPassword properties set to the default values. Then, create the secret with the user name and password set to the same default values. Add a Secret Target Attachment resource with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database. Finally, update the secret’s password value with a randomly generated string set by the GenerateSecretString property.
B.Add a Mapping property from the database Amazon Resource Name (ARN) to the secret AR
C.Then, create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add the database with the MasterUserName and MasterUserPassword properties set to the user name of the secret.
D.Add a resource of type AWS::SecretsManager::Secret and specify the GenerateSecretString property. Then, define the database user name in the SecureStringTemplate template. Create a resource for the database and reference the secret string for the MasterUserName and MasterUserPassword properties. Then, add a resource of type AWS::SecretsManagerSecretTargetAttachment with the SecretId and TargetId properties set to the Amazon Resource Names (ARNs) of the secret and the database.
E.Create the secret with a chosen user name and a randomly generated password set by the GenerateSecretString property. Add an SecretTargetAttachment resource with the SecretId property set to the Amazon Resource Name (ARN) of the secret and the TargetId property set to a parameter value matching the desired database AR
F.Then, create a database with the MasterUserName and MasterUserPassword properties set to the previously created values in the secret.

正解:
Explanation:
Reference: https://docs.aws.amazon.com/AWSCloudFormation/latest/UserGuide/aws-resource-secretsmanager-secrettargetattachment.html

Question No : 6
A company is using 5 TB Amazon RDS DB instances and needs to maintain 5 years of monthly database backups for compliance purposes. A Database Administrator must provide Auditors with data within 24 hours.
Which solution will meet these requirements and is the MOST operationally efficient?

A.Create an AWS Lambda function to run on the first day of every month to take a manual RDS snapshot. Move the snapshot to the company’s Amazon S3 bucket.
B.Create an AWS Lambda function to run on the first day of every month to take a manual RDS snapshot.
C.Create an RDS snapshot schedule from the AWS Management Console to take a snapshot every 30 days.
D.Create an AWS Lambda function to run on the first day of every month to create an automated RDS snapshot.

正解:
Explanation:
Unlike automated backups, manual snapshots aren't subject to the backup retention period. Snapshots don't expire. For very long-term backups of MariaDB, MySQL, and PostgreSQL data, we recommend exporting snapshot data to Amazon S3. If the major version of your DB engine is no longer supported, you can't restore to that version from a snapshot. https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_CreateSnapshot.html

Question No : 7
A financial company wants to store sensitive user data in an Amazon Aurora PostgreSQL DB cluster. The database will be accessed by multiple applications across the company. The company has mandated that all communications to the database be encrypted and the server identity must be validated. Any non-SSL-based connections should be disallowed access to the database.
Which solution addresses these requirements?

A.Set the rds.force_ssl=0 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=allow.
B.Set the rds.force_ssl=1 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=disable.
C.Set the rds.force_ssl=0 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=verify-ca.
D.Set the rds.force_ssl=1 parameter in DB parameter groups. Download and use the Amazon RDS certificate bundle and configure the PostgreSQL connection string with sslmode=verify-full.

正解:
Explanation:
PostgreSQL: sslrootcert=rds-cert.pem sslmode=[verify-ca | verify-full]
Reference: https://forums.aws.amazon.com/message.jspa?messageID=734076

Question No : 8
A Database Specialist is performing a proof of concept with Amazon Aurora using a small instance to confirm a simple database behavior. When loading a large dataset and creating the index, the Database Specialist encounters the following error message from Aurora:
ERROR: cloud not write block 7507718 of temporary file: No space left on device
What is the cause of this error and what should the Database Specialist do to resolve this issue?

A.The scaling of Aurora storage cannot catch up with the data loading. The Database Specialist needs to modify the workload to load the data slowly.
B.The scaling of Aurora storage cannot catch up with the data loading. The Database Specialist needs to enable Aurora storage scaling.
C.The local storage used to store temporary tables is full. The Database Specialist needs to scale up the instance.
D.The local storage used to store temporary tables is full. The Database Specialist needs to enable local storage scaling.

正解:
Explanation:
Reference: https://serverfault.com/QUESTION NO:s/109828/how-can-i-tune-postgres-to-avoid-this-error

Question No : 9
A company’s Security department established new requirements that state internal users must connect to an existing Amazon RDS for SQL Server DB instance using their corporate Active Directory (AD) credentials. A Database Specialist must make the modifications needed to fulfill this requirement.
Which combination of actions should the Database Specialist take? (Choose three.)

A.Disable Transparent Data Encryption (TDE) on the RDS SQL Server DB instance.
B.Modify the RDS SQL Server DB instance to use the directory for Windows authentication. Create appropriate new logins.
C.Use the AWS Management Console to create an AWS Managed Microsoft A
D.Create a trust relationship with the corporate A
E.Stop the RDS SQL Server DB instance, modify it to use the directory for Windows authentication, and start it again. Create appropriate new logins.
F.Use the AWS Management Console to create an AD Connector. Create a trust relationship with the corporate A
G.Configure the AWS Managed Microsoft AD domain controller Security Group.

正解:
Explanation:
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_SQLServerWinAuth.html

Question No : 10
A gaming company has recently acquired a successful iOS game, which is particularly popular during the holiday season. The company has decided to add a leaderboard to the game that uses Amazon DynamoDB. The application load is expected to ramp up over the holiday season.
Which solution will meet these requirements at the lowest cost?

A.DynamoDB Streams
B.DynamoDB with DynamoDB Accelerator
C.DynamoDB with on-demand capacity mode
D.DynamoDB with provisioned capacity mode with Auto Scaling

正解:
Explanation:
Reference: https://aws.amazon.com/blogs/database/running-spiky-workloads-and-optimizing-costs-by-more-than-90-using-amazon-dynamodb-on-demand-capacity-mode/?nc1=b_rp

Question No : 11
A company has multiple applications serving data from a secure on-premises database. The company is migrating all applications and databases to the AWS Cloud. The IT Risk and Compliance department requires that auditing be enabled on all secure databases to capture all log ins, log outs, failed logins, permission changes, and database schema changes. A Database Specialist has recommended Amazon Aurora MySQL as the migration target, and leveraging the Advanced Auditing feature in Aurora.
Which events need to be specified in the Advanced Auditing configuration to satisfy the minimum auditing requirements? (Choose three.)

A.CONNECT
B.QUERY_DCL
C.QUERY_DDL
D.QUERY_DML
E.TABLE
F.QUERY

正解:
Explanation:
Connect -logins / DCL -authorizations (grant,revoke), DDL -schema updates

Question No : 12
An IT consulting company wants to reduce costs when operating its development environment databases. The company’s workflow creates multiple Amazon Aurora MySQL DB clusters for each development group. The Aurora DB clusters are only used for 8 hours a day. The DB clusters can then be deleted at the end of the development cycle, which lasts 2 weeks.
Which of the following provides the MOST cost-effective solution?

A.Use AWS CloudFormation templates. Deploy a stack with the DB cluster for each development group. Delete the stack at the end of the development cycle.
B.Use the Aurora DB cloning feature. Deploy a single development and test Aurora DB instance, and create clone instances for the development groups. Delete the clones at the end of the development cycle.
C.Use Aurora Replicas. From the master automatic pause compute capacity option, create replicas for each development group, and promote each replica to master. Delete the replicas at the end of the development cycle.
D.Use Aurora Serverless. Restore current Aurora snapshot and deploy to a serverless cluster for each development group. Enable the option to pause the compute capacity on the cluster and set an appropriate timeout.

正解:
Explanation:
Aurora Serverless is not compatible to all Aurora provisioned engine version. However, you can do clone with most engine version. Meanwhile, I also consider the performance while restoring snapshot to Aurora Serverless.
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless.how-it-works.html#aurora-serverless.how-it-works.pause-resume
https://docs.aws.amazon.com/AmazonRDS/latest/AuroraUserGuide/aurora-serverless.html#aurora-serverless.use-cases

Question No : 13
An ecommerce company is using Amazon DynamoDB as the backend for its order-processing application. The steady increase in the number of orders is resulting in increased DynamoDB costs. Order verification and reporting perform many repeated GetItem functions that pull similar datasets, and this read activity is contributing to the increased costs. The company wants to control these costs without significant development efforts.
How should a Database Specialist address these requirements?

A.Use AWS DMS to migrate data from DynamoDB to Amazon DocumentDB
B.Use Amazon DynamoDB Streams and Amazon Kinesis Data Firehose to push the data into Amazon Redshift
C.Use an Amazon ElastiCache for Redis in front of DynamoDB to boost read performance
D.Use DynamoDB Accelerator to offload the reads

正解:
Explanation:
https://docs.amazonaws.cn/en_us/amazondynamodb/latest/developerguide/DAX.html
"Applications that are read-intensive, but are also cost-sensitive. With DynamoDB, you provision the number of reads per second that your application requires. If read activity increases, you can increase your tables' provisioned read throughput (at an additional cost). Or, you can offload the activity from your application to a DAX cluster, and reduce the number of read capacity units that you need to purchase otherwise."

Question No : 14
A company is looking to move an on-premises IBM Db2 database running AIX on an IBM POWER7 server. Due to escalating support and maintenance costs, the company is exploring the option of moving the workload to an Amazon Aurora PostgreSQL DB cluster.
What is the quickest way for the company to gather data on the migration compatibility?

A.Perform a logical dump from the Db2 database and restore it to an Aurora DB cluster. Identify the gaps and compatibility of the objects migrated by comparing row counts from source and target tables.
B.Run AWS DMS from the Db2 database to an Aurora DB cluster. Identify the gaps and compatibility of the objects migrated by comparing the row counts from source and target tables.
C.Run native PostgreSQL logical replication from the Db2 database to an Aurora DB cluster to evaluate the migration compatibility.
D.Run the AWS Schema Conversion Tool (AWS SCT) from the Db2 database to an Aurora DB cluster. Create a migration assessment report to evaluate the migration compatibility.

正解:
Explanation:
Reference: https://docs.aws.amazon.com/SchemaConversionTool/latest/userguide/Schema-Conversion-Tool.pdf
• Converts DB/DW schema from source to target (including procedures / views / secondary indexes / FK and constraints)
• Mainly for heterogeneous DB migrations and DW migrations

Question No : 15
A marketing company is using Amazon DocumentDB and requires that database audit logs be enabled. A Database Specialist needs to configure monitoring so that all data definition language (DDL) statements performed are visible to the Administrator. The Database Specialist has set the audit_logs parameter to enabled in the cluster parameter group.
What should the Database Specialist do to automatically collect the database logs for the Administrator?

A.Enable DocumentDB to export the logs to Amazon CloudWatch Logs
B.Enable DocumentDB to export the logs to AWS CloudTrail
C.Enable DocumentDB Events to export the logs to Amazon CloudWatch Logs
D.Configure an AWS Lambda function to download the logs using the download-db-log-file-portion operation and store the logs in Amazon S3

正解:
Explanation:
https://docs.aws.amazon.com/documentdb/latest/developerguide/event-auditing.html
Auditing Amazon DocumentDB Events
PDF
Kindle
RSS
With Amazon DocumentDB (with MongoDB compatibility), you can audit events that were performed in your cluster. Examples of logged events include successful and failed authentication attempts, dropping a collection in a database, or creating an index. By default, auditing is disabled on Amazon DocumentDB and requires that you opt in to use this feature.
When auditing is enabled, Amazon DocumentDB records Data Definition Language (DDL), authentication, authorization, and user management events to Amazon CloudWatch Logs. When auditing is enabled, Amazon DocumentDB exports your cluster’s auditing records (JSON documents) to Amazon CloudWatch Logs. You can use Amazon CloudWatch Logs to analyze, monitor, and archive your Amazon DocumentDB auditing events.

Amazon DBS-C01 問題練習