AWS Certified SysOps Administrator – Associate Exam Practice
Are you prepared for your upcoming AWS Certified SysOps Administrator – Associate exam?
Assess your understanding with these free AWS Certified SysOps Administrator – Associate exam practice questions. Just click the View Answer button to reveal the correct answer along with comprehensive explanations.
- Exam Name: AWS Certified SysOps Administrator – Associate
- Level: Associate
- Total Number of Practice Questions: 10
Let’s Start Test
Question 1 A company called “TechABC” manages its application’s source code in AWS CodeCommit. They are setting up a CI/CD pipeline using AWS CodePipeline to automate their deployment process. The pipeline should initiate automatically whenever there are new changes made to the main branch of the CodeCommit repository. Due to frequent daily updates, it’s crucial to have a highly responsive pipeline. What actions should the DevOps engineer take to fulfill these requirements?
a) Manually monitor the CodeCommit repository and trigger the pipeline on changes.
b) Configure AWS CloudTrail to send notifications when changes occur and trigger the pipeline.
c) Use AWS EventBridge to create a rule that triggers the pipeline upon detecting changes in the CodeCommit repository.
d) Implement an AWS Lambda function that continuously scans the CodeCommit repository for changes and starts the pipeline automatically.
Answer is: c – Use AWS EventBridge to create a rule that triggers the pipeline upon detecting changes in the CodeCommit repository.
Explanation: By setting up EventBridge rules, the pipeline can be automatically initiated whenever changes occur in the main branch of the CodeCommit repository. This ensures a responsive CI/CD process. Other options : (a) is inefficient and requires manual monitoring, (b) is incorrect as AWS CloudTrail is primarily used for auditing API calls, (d) is not the most optimal solution for automatically triggering the pipeline.
Question 2 A company intends to automate the patching process for its Amazon Linux 2 EC2 instances. They require an automated solution that applies security patches during a specified maintenance window and offers visibility into patch compliance. What solution should be implemented to fulfill these requirements?
a) Configure AWS CodeBuild to build and deploy patches to the EC2 instances during a specified window.
b) Schedule an AWS Lambda function to pull and apply Amazon Linux 2 preinstalled Systems Manager Agent (SSM Agent) patches.
c) Use AWS Systems Manager Patch Manager with a patch baseline and view compliance in the Systems Manager console.
d) Implement a cron job on each EC2 instance to check for available patches and apply them during the maintenance window.
Answer is: c – Use AWS Systems Manager Patch Manager with a patch baseline and view compliance in the Systems Manager console.
Explanation: AWS Systems Manager Patch Manager provides a solution to automate the patching process for Amazon Linux 2 EC2 instances. By defining a patch baseline and scheduling a maintenance window, security patches can be applied automatically during the specified window. Patch compliance can be monitored and viewed in the Systems Manager console. Other options : (a) is incorrect as CodeBuild is primarily used for building and deploying applications, not managing patches, (b) is incorrect as it suggests manual scheduling of an AWS Lambda function instead of using a dedicated patch management service.(d) is incorrect as it involves implementing a custom solution using cron jobs, which is not the most efficient approach.
Question 3 A organization intends to set up a fanout messaging scenario for Amazon S3 event notifications. They want to invoke multiple consumers, including AWS Lambda functions and Amazon SQS queues, in response to a single event. How can this scenario be achieved without requiring modifications to the Lambda function code?
a) Configure Amazon S3 event notifications to invoke multiple Lambda functions directly.
b) Set up an S3 event notification that triggers an Amazon Kinesis Data Stream, which in turn invokes the Lambda functions.
c) Move the S3 event notifications to an Amazon SNS topic and have the Lambda functions subscribe to the topic.
d) Use Amazon EventBridge to create a rule that triggers Lambda functions and SQS queues in response to S3 events.
Answer is: d – Use Amazon EventBridge to create a rule that triggers Lambda functions and SQS queues in response to S3 events.
Explanation: Amazon EventBridge enables the creation of rules that can trigger Lambda functions and SQS queues in response to S3 events. By configuring EventBridge rules, you can achieve a fanout messaging scenario without requiring modifications to the Lambda function code. Other options : (a) is incorrect because it directly invokes multiple Lambda functions, which would require modifications to the function code, (b) is incorrect as it involves an additional component (Kinesis Data Stream) and is not necessary for achieving the desired scenario, (c) is incorrect as it does not support direct triggering of SQS queues.
Question 4 A company is migrating its on-premises database to Amazon RDS. They need to ensure minimal downtime during the migration process. What approach should the company take to achieve this?
a) Perform a full database backup, restore it in Amazon RDS, and then synchronize the changes using database replication.
b) Set up a replication process between the on-premises database and Amazon RDS, and then switch the application to use the RDS database once replication is caught up.
c) Use AWS Database Migration Service (DMS) to migrate the data from the on-premises database to Amazon RDS with minimal downtime.
d) Take a snapshot of the on-premises database, copy it to Amazon S3, and then restore it in Amazon RDS.
Answer is: c – Use AWS Database Migration Service (DMS) to migrate the data from the on-premises database to Amazon RDS with minimal downtime.
Explanation: AWS Database Migration Service (DMS) provides a solution for migrating databases with minimal downtime. It uses a replication process to migrate the data from the on-premises database to Amazon RDS while keeping the source database operational. Once the replication is caught up, the application can be switched to use the RDS database. Other options : (a) is incorrect because it involves manual backup and restore, which may cause downtime during the process, (b) is incorrect as it assumes an existing replication process between the on-premises database and Amazon RDS, which might not be in place, (d) is incorrect as it suggests a manual process of taking a snapshot and copying it to Amazon S3, which may not provide a seamless migration.
Question 5 A company is building a microservices architecture in AWS and wants to implement service discovery and load balancing for its services. The company wants to use a fully managed service that can automatically register and deregister services, perform health checks, and distribute traffic across instances. Which AWS service should the company choose to fulfill these requirements?
a) Deploy an Amazon EC2 Auto Scaling group and configure an Elastic Load Balancer to distribute traffic across instances. Use Route 53 DNS service for service discovery.
b) Utilize Amazon ECS (Elastic Container Service) with an Application Load Balancer. Use AWS CloudMap for service discovery and automatically register and deregister services.
c) Implement AWS Lambda functions for service discovery and AWS Global Accelerator for load balancing. Use Amazon API Gateway for health checks.
d) Set up an Amazon Elastic Kubernetes Service (EKS) cluster and use an Ingress Controller with an Application Load Balancer. Configure ExternalDNS for service discovery.
Answer is: b – Utilize Amazon ECS (Elastic Container Service) with an Application Load Balancer. Use AWS CloudMap for service discovery and automatically register and deregister services.
Explanation: Amazon ECS is a fully managed container orchestration service that supports service discovery and load balancing. By combining ECS with an Application Load Balancer, the company can distribute traffic across instances and automatically scale services based on demand. AWS CloudMap provides service discovery capabilities, allowing services to register and deregister themselves automatically. This combination meets the company’s requirements for service discovery and load balancing. Other options : (a) is incorrect because it does not provide automatic service registration and deregistration, (c) is not the optimal choice for service discovery and load balancing in a microservices architecture, (d)involves additional configuration and setup compared to the native capabilities provided by Amazon ECS and AWS CloudMap.
Question 6 A company is developing a data-intensive application that requires a durable, scalable, and fully managed database service. The application needs to support flexible data models and low-latency access to data. Which AWS service should the company choose to fulfill these requirements?
a) Amazon RDS (Relational Database Service) with PostgreSQL engine. Configure read replicas for scalability and high availability.
b) Amazon DynamoDB, a fully managed NoSQL database service. Use DynamoDB Accelerator (DAX) for low-latency access to data.
c) Amazon ElastiCache with Redis engine. Use Redis Cluster for horizontal scaling and data partitioning.
d) Amazon Neptune, a fully managed graph database service. Utilize Neptune Read Replicas for scalability and fault tolerance.
Answer is: b – Amazon DynamoDB, a fully managed NoSQL database service. Use DynamoDB Accelerator (DAX) for low-latency access to data.
Explanation: Amazon DynamoDB is a fully managed NoSQL database service that provides high scalability and durability for data-intensive applications. It offers flexible data models and automatic scaling based on demand. To ensure low-latency access to data, the company can utilize DynamoDB Accelerator (DAX), an in-memory cache that improves read performance. This combination of DynamoDB and DAX fulfills the requirements of a durable, scalable, and fully managed database service with low-latency access to data. Other options : (a) is incorrect as it suggests a relational database, which may not provide the same scalability and flexible data models required for the application, (c) is not ideal for a data-intensive application and does not support the low-latency access requirement, (d) is specific to graph databases and may not be the best fit for the given scenario.
Question 7 A company is building a serverless application that requires authentication and authorization for user access. The application also needs to integrate with a third-party identity provider to enable single sign-on (SSO) functionality. Which combination of services should the company use to meet these requirements? (Select more than one answer)
a) Use Amazon Cognito to handle user authentication and authorization.
b) Utilize AWS Identity and Access Management (IAM) for user access management.
c) Configure AWS Single Sign-On (SSO) to integrate with the third-party identity provider.
d) Implement an AWS Lambda function to handle user authentication.
e) Set up an Amazon API Gateway with custom authentication and authorization.
Answer is: a, c – (a) Use Amazon Cognito to handle user authentication and authorization. and (c) Configure AWS Single Sign-On (SSO) to integrate with the third-party identity provider.
Explanation: Amazon Cognito provides a comprehensive solution for user authentication and authorization in serverless applications. It supports various identity providers and offers features such as user pools and federated identities for SSO integration. AWS Single Sign-On (SSO) is the recommended service for integrating with third-party identity providers, allowing seamless authentication across multiple applications. Options (b) and (e) are not the optimal choices for user authentication and SSO integration in a serverless application.(d) is not recommended as implementing custom authentication using Lambda can be complex and less secure.
Question 8 A company is developing a web application that requires real-time notifications to users based on specific events. The notifications need to be sent via email and SMS. Which combination of services should the company use to meet these requirements? (Select more than one answer)
a) Utilize AWS Lambda functions to trigger email and SMS notifications.
b) Implement Amazon Simple Notification Service (SNS) to send email and SMS notifications.
c) Configure Amazon Simple Email Service (SES) to send email notifications.
d) Set up an Amazon Connect instance to send SMS notifications.
e) Develop custom API endpoints in Amazon API Gateway to handle email and SMS notifications.
Answer is: b, c – (b) Implement Amazon Simple Notification Service (SNS) to send email and SMS notifications. and (c) Configure Amazon Simple Email Service (SES) to send email notifications.
Explanation: Amazon Simple Notification Service (SNS) provides a scalable and reliable solution for sending notifications to users via multiple protocols, including email and SMS. It integrates seamlessly with Amazon Simple Email Service (SES) for sending email notifications. Other options : (a) is incorrect as using AWS Lambda functions directly may not provide the same scalability and ease of use as SNS, (d) is not recommended for sending SMS notifications as Amazon Connect is primarily designed for voice communication, (e) involves unnecessary complexity, as SNS and SES can handle email and SMS notifications more efficiently.
Question 9 A company is migrating its on-premises database to Amazon RDS for better scalability and manageability. The company wants to ensure secure access to the database for specific users. Which step should the company take to meet this requirement?
a) Create an IAM role with the necessary database access permissions. Assign the role to specific users.
b) Configure Amazon RDS security groups to allow inbound access from specific IP addresses.
c) Use AWS Secrets Manager to store the database credentials. Grant access to specific users.
d) Set up Amazon Cognito to authenticate the specific users and grant access to the database.
Answer is: a – Create an IAM role with the necessary database access permissions. Assign the role to specific users.
Explanation: To provide secure access to the Amazon RDS database, the company should create an IAM role with the necessary database access permissions and assign the role to specific users. This ensures that only authorized users can access the database. Other options : (b) is not the best choice for granting access to specific users, as Amazon RDS security groups primarily control inbound access based on IP addresses, (c) is not directly related to granting access to specific users but focuses on secure storage of credentials, (d) involves unnecessary complexity and is not the optimal solution for granting access to the database.
Question 10 A company wants to build a data processing pipeline that can handle large volumes of streaming data. The pipeline should be able to ingest data from various sources, perform real-time transformations and analytics, and store the processed data for further analysis. Which AWS service or combination of services should the company choose to fulfill these requirements? (Select more than one answer)
a) Use Amazon Kinesis Data Streams to ingest and process the streaming data. Store the processed data in Amazon S3 for further analysis.
b) Implement AWS Glue to extract, transform, and load the data into Amazon Redshift. Use Redshift for real-time analytics and storage.
c) Utilize AWS Step Functions to orchestrate the data processing pipeline. Use AWS Lambda functions for real-time transformations and Amazon Elasticsearch for analytics.
d) Set up an Apache Kafka cluster on Amazon EC2 instances to handle the streaming data. Process the data using Apache Flink and store the results in Amazon DynamoDB.
Answer is: a, c – (a) Use Amazon Kinesis Data Streams to ingest and process the streaming data. Store the processed data in Amazon S3 for further analysis. and (c) Utilize AWS Step Functions to orchestrate the data processing pipeline. Use AWS Lambda functions for real-time transformations and Amazon Elasticsearch for analytics.
Explanation: Using Amazon Kinesis Data Streams for ingesting and processing large volumes of streaming data, while storing the processed data in Amazon S3 for further analysis. Option C suggests utilizing AWS Step Functions to orchestrate the data processing pipeline, with AWS Lambda functions for real-time transformations and Amazon Elasticsearch for analytics. These services fulfill the company’s requirements by providing scalable streaming data handling, real-time transformations, and storage for analysis. Other options : (b) is not the optimal choice as AWS Glue and Amazon Redshift are better suited for batch processing and structured data analytics, (d) involves manual setup and maintenance, making it less efficient compared to the native AWS services mentioned.