AWS Lambda Essentials: Interview Questions Quiz Quiz

Explore key AWS Lambda concepts with these interview-style questions designed to enhance your understanding of serverless computing, triggers, event sources, resource limits, use cases, and basic configuration. This quiz is ideal for those preparing for AWS Lambda interviews or looking to solidify foundational knowledge of this event-driven service.

  1. Triggering Lambda Functions

    Which type of event source can directly trigger the execution of a Lambda function?

    1. A spreadsheet update on a local device
    2. A manual startup of a physical server
    3. A desktop application shortcut
    4. An object uploaded to a cloud storage bucket

    Explanation: An object uploaded to a cloud storage bucket can directly trigger a Lambda function by acting as an event source. Spreadsheet updates on a local device and desktop application shortcuts do not interact with the event-driven service and cannot serve as triggers. Manually starting a physical server is unrelated to the event-based execution model of Lambda.

  2. Lambda Function Timeout

    What is the maximum timeout duration you can specify for an individual Lambda function execution?

    1. 15 minutes
    2. 45 seconds
    3. 24 hours
    4. 1 hour

    Explanation: The maximum timeout for a Lambda function execution is 15 minutes, ensuring short-lived, event-driven processing. While 1 hour and 24 hours suggest longer limits, they exceed the actual restriction and are incorrect. 45 seconds is possible, but it is not the maximum allowed; thus, 15 minutes is the correct answer.

  3. Supported Programming Languages

    Which of the following programming languages is supported natively in AWS Lambda for authoring functions?

    1. Pascal
    2. C++
    3. Python
    4. Cobol

    Explanation: Python is natively supported for writing Lambda functions, offering simplicity and fast execution. C++ and Cobol are not natively supported, requiring custom runtimes for execution. Pascal is not supported at all, making Python the most appropriate option.

  4. Use Case Scenario

    Which scenario best illustrates a suitable use case for Lambda?

    1. Running a persistent database for months
    2. Managing a continuous video stream for 8 hours
    3. Hosting a static website with heavy traffic
    4. Automatically processing thumbnails when a user uploads an image

    Explanation: Lambda is designed for short-lived, event-driven tasks like image processing upon upload. Persistent databases and continuous video streaming require long-running resources, which are ill-suited to Lambda's execution model. Hosting a static website is possible elsewhere but is not a core Lambda function use case.

  5. Cold Start Concept

    What is referred to as a 'cold start' in Lambda environments?

    1. The termination of a function because it used up all memory
    2. The time taken for a new function instance to initialize before processing an event
    3. A function executing in a different timezone
    4. A function triggered by unauthorized events

    Explanation: A cold start occurs when a new Lambda instance is initialized to handle a request, increasing startup latency. Timezone and unauthorized events do not describe startup delays. Memory exhaustion leads to function termination, not a cold start.

  6. Lambda Memory Allocation Impact

    How does increasing the memory allocation for a Lambda function typically impact its execution?

    1. It disables error logging
    2. It extends the maximum execution time beyond limits
    3. It can improve execution speed by allocating more CPU resource
    4. It reduces the function's concurrency limit

    Explanation: Increasing the memory allocation also provides more CPU, which may improve execution speed for compute-intensive tasks. It does not change the maximum allowed execution time, does not disable error logging, and does not automatically impact concurrency limits.

  7. Environment Variables Usage

    Why might you use environment variables in a Lambda function configuration?

    1. To securely manage parameters like API keys and database endpoints
    2. To increase logging verbosity automatically
    3. To bypass function deployment steps
    4. To extend maximum function duration

    Explanation: Environment variables in Lambda allow you to securely manage sensitive settings such as API keys and endpoints without hardcoding them. Increasing logging requires separate configuration and is not accomplished with environment variables. Maximum duration and deployment processes are unaffected by using environment variables.

  8. IAM Role Requirement

    Why does a Lambda function require an IAM role to execute certain tasks?

    1. To change the programming language at runtime
    2. To limit the execution to only one request at a time
    3. To obtain permissions to access other cloud services securely
    4. To reduce costs associated with function invocations

    Explanation: Assigning an IAM role provides the necessary permissions for Lambda to securely interact with other cloud services. Billing costs and concurrency limits are managed separately and not controlled by the IAM role. Changing programming languages is unrelated to IAM roles.

  9. Monitoring Lambda Functions

    Which feature is commonly used to monitor Lambda function execution and capture logs?

    1. Offline backup drives
    2. Desktop screen recorders
    3. Cloud-based log monitoring service
    4. External hardware sensors

    Explanation: A cloud-based log monitoring service is commonly integrated with Lambda to capture execution logs and monitor function behavior. Offline backup drives, screen recorders, and hardware sensors do not capture or manage logs generated during Lambda execution.

  10. Concurrency in Lambda

    What does the term 'concurrent executions' refer to in the context of Lambda?

    1. The number of Lambda function instances running at the same time
    2. The number of programming languages used in a function
    3. The total number of times a function has ever been invoked
    4. How often the function code is edited

    Explanation: Concurrent executions refer to the number of Lambda instances running simultaneously, which affects scalability and limits. The total invocation count refers to all historical runs, not concurrent ones. Code editing frequency and multi-language use are unrelated to this operational concept.