AWS Certified Developer Associate 2018 AWS Certified Developer Associate 2018 Free Practice Test — 30 Questions
This practice set exercises your understanding of AWS Lambda concurrency limits, throttling behavior, and integration with SQS, DynamoDB, and Step Functions. You must decide how to handle sudden traffic spikes without data loss, apply idempotency patterns, choose appropriate caching strategies, and enforce least privilege IAM. Many questions test your ability to reason about concurrent execution, state management, and fault tolerance using services like ElastiCache, CloudFront, and Kinesis. Behavioral questions assess adaptability and team collaboration. Master these to confidently architect serverless microservices.
What this AWS Certified Developer Associate 2018 AWS Certified Developer Associate 2018 practice set measures
This is an analysis of the practice bank, not a claim about the vendor's live exam blueprint. Use it to identify the knowledge, judgment, and recall patterns exercised here, then verify your coverage against the current official exam guide.
Lambda Concurrency and Throttling
Many questions explore how Lambda’s reserved concurrency and account-level limits affect message processing. You must understand that when concurrency is exceeded, synchronous invocations are throttled (TooManyRequestsException), and asynchronous sources like SQS retry messages according to the redrive policy. Scenarios require you to buffer requests with SQS or increase reserved concurrency to prevent failures. The practice bank also covers the interplay between batch size and concurrency, emphasizing that Lambda processes messages in batches and that throttled messages return to the queue for retry.
- Reserved concurrency caps concurrent executions; exceeding it throttles new invocations.
- SQS event source mapping retries failed messages; DLQ captures messages exceeding maxReceiveCount.
- Throttled synchronous invocations return errors; asynchronous invocations are automatically retried.
- Increasing reserved concurrency can mitigate throttling during traffic spikes.
- Batch size affects how many messages are processed per invocation and overall concurrency.
Data Consistency and State Management
Concurrent updates to DynamoDB items require optimistic locking using conditional expressions with version attributes to prevent lost updates. The practice bank emphasizes this pattern in scenarios like inventory decrement and collaborative editing. It also covers Step Functions for orchestrating multi-step workflows with error handling, ensuring exactly-once processing. Caching with ElastiCache is presented to reduce load on downstream services and improve latency. DynamoDB Global Tables enable multi-region active-active replication for low-latency access.
- DynamoDB conditional writes with version attributes achieve optimistic locking.
- Step Functions orchestrate workflows with retries and error handling for idempotency.
- ElastiCache caches frequently accessed data to reduce latency and downstream load.
- DynamoDB Global Tables replicate data across regions for low-latency reads and writes.
- Choose DynamoDB for serverless state management due to its scalability and low latency.
Resilience and Fault Tolerance
Questions test your ability to design for high availability using multi-AZ deployments, SQS for decoupling, and CloudFront for caching. You must understand that SQS buffers requests to prevent overwhelming downstream services, and that CloudFront can improve S3 access reliability. The practice bank also covers Blue/Green deployments with CodeDeploy to minimize downtime and rollback risks. Health check configuration in ALBs is highlighted as a diagnostic step for intermittent failures. Behavioral questions assess adaptability under pressure.
- SQS decouples components and absorbs traffic spikes, preventing Lambda throttling.
- CloudFront with S3 origin provides low-latency, reliable content delivery.
- Blue/Green deployment with CodeDeploy reduces risk during updates.
- ALB health checks must be properly configured to detect unhealthy instances.
- Architect for failure by using multi-AZ and automatic scaling.
Security and Access Control
The practice bank emphasizes least privilege IAM policies for S3 and Lambda execution roles. You must grant only necessary actions (PutObject, GetObject, DeleteObject) on specific bucket ARNs. Encryption is addressed with KMS customer-managed keys for data at rest and TLS for data in transit. Questions also cover using CloudFront to secure S3 origins and IAM policy conditions for IP addresses or user attributes. Understanding how to scope permissions to specific resources and actions is critical for compliance.
- IAM policies should allow only specific S3 actions on precise bucket paths.
- Use KMS customer-managed keys for S3 server-side encryption with full control.
- Enforce TLS for all Lambda outbound traffic to protect data in transit.
- CloudFront can serve as an additional security layer for S3 content.
- Avoid broad wildcards; rely on resource-level permissions and conditions.
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A development team is architecting a serverless data processing pipeline using AWS Lambda and Amazon Simple Queue Service (SQS). They have configured an SQS queue to send messages in batches of up to 10 messages per poll. The Lambda function, designed to process these messages, has been configured with a `ReservedConcurrency` setting of 50 to ensure predictable performance and prevent other services from being impacted. Considering the SQS event source mapping and the Lambda function\'s concurrency configuration, what is the maximum number of concurrent Lambda function invocations that can be initiated by the SQS polling mechanism at any given moment?
Study workflow
Turn one AWS Certified Developer Associate 2018 AWS Certified Developer Associate 2018 attempt into a study plan
- 1
Master Lambda Concurrency and Throttling Scenarios
Review the practice bank questions on reserved concurrency, account limits, and SQS integration. Understand the difference between synchronous and asynchronous invocation retry behavior. Simulate scenarios where concurrency is exceeded and trace how messages flow back to SQS and DLQ. Practice calculating concurrency needs based on request rate and duration.
- 2
Practice DynamoDB Conditional Writes and Optimistic Locking
Work through questions involving concurrent updates to the same item. Implement a version attribute and use UpdateItem with a ConditionExpression checking that version matches. Understand that failed conditions return a ConditionalCheckFailedException, which should trigger a retry after re-reading the item. This pattern prevents lost updates in serverless applications.
- 3
Design Resilient Workflows with Step Functions
Use Step Functions to orchestrate multi-step processes with error handling, retries, and idempotency. The practice bank shows how to guarantee exactly-once processing. Implement a state machine that on failure catches errors and routes to a fallback. Explore how to integrate with Lambda, SQS, and DynamoDB for complete workflow visibility.
- 4
Apply Least Privilege IAM and Encryption Best Practices
From the practice bank, derive IAM policies that grant only required S3 actions on specific buckets. Use customer-managed KMS keys for encryption and enforce TLS. Practice writing policies that combine conditions for IP ranges or user attributes. Test policies with the IAM Policy Simulator to validate least privilege.
- 5
Optimize Performance with Caching and Content Delivery
Identify scenarios where ElastiCache or CloudFront improves latency and reduces load. For frequently accessed data, implement a cache-aside pattern with DynamoDB and ElastiCache. For static assets, use CloudFront with S3 origin to reduce latency and improve reliability. The practice bank illustrates these solutions for inventory data and configuration files.
FAQ
Questions about this exam practice page
Clear boundaries on what the bank covers, how to use it, and where official vendor information still matters.
What is the primary cause of TooManyRequestsException in Lambda?+
TooManyRequestsException occurs when the number of concurrent invocations exceeds the function’s reserved concurrency or the account’s unreserved concurrency limit. For synchronous invocations, Lambda returns this error immediately. For asynchronous sources like SQS, messages are retried automatically, but throttled invocations may lead to increased latency.
How does DynamoDB optimistic locking prevent lost updates?+
Optimistic locking uses a version attribute in the item. When reading the item, you note its current version. When updating, you include a ConditionExpression that the version matches the noted value. If another writer changed it, the condition fails, and you must re-read the item to get the latest version before retrying.
Why use Step Functions over manual Lambda choreography for order processing?+
Step Functions provides built-in error handling, retries, and state management for long-running workflows. It ensures exactly-once execution and gives visibility into each step’s status. Manual choreography with Lambda would require custom state persistence and complex error recovery, increasing code complexity and potential for data inconsistency.
What is the benefit of using CloudFront with an S3 origin for static assets?+
CloudFront caches content at edge locations, reducing latency for global users and offloading direct requests to S3. It also provides additional security features like AWS WAF and origin access identity to restrict direct S3 access. This improves both performance and security for static content delivery.
How does SQS buffer help prevent Lambda throttling during traffic spikes?+
By placing an SQS queue between the request source and Lambda, incoming messages are buffered. Lambda processes messages at its own pace based on event source mapping, respecting concurrency limits. If Lambda is throttled, messages remain in the queue and are retried, ensuring no data loss and smoother processing under load.
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