An encryption system that uses the same key to encrypt and decrypt information is known as _______ encryption.
- Asymmetric
- Private
- Public
- Symmetric
Symmetric encryption, also known as private-key encryption, uses the same key for both encryption and decryption. This means that the sender and the recipient must both have access to the same secret key. It is typically faster and less computationally intensive compared to asymmetric encryption.
The process of hiding a wireless network by not broadcasting its SSID is known as _______.
- MAC Filtering
- Network Masking
- SSID Concealing
- SSID Encryption
SSID Concealing, also known as SSID hiding, is a security measure where the network name (SSID) is not broadcast, making it less visible to potential attackers.
How does AWS Lambda handle scaling automatically?
- Based on the incoming traffic and workload
- By manually adjusting the compute capacity
- By periodically checking system metrics
- Through scheduled scaling events
AWS Lambda handles scaling automatically by dynamically adjusting resources based on the incoming traffic and workload, providing efficient and scalable compute capabilities for serverless applications.
What does AWS Lambda provide?
- A scalable object storage service
- A service for deploying and managing virtual machines
- A service to manage AWS resources through a web-based interface
- A service to run code without provisioning or managing servers
AWS Lambda is designed to let you run code without thinking about servers. It abstracts the infrastructure so developers can focus on the code itself.
Which of the following statements best describes the primary purpose of AWS Lambda?
- To enable serverless computing by running code in response to events
- To monitor and manage application performance
- To provide virtual servers on demand
- To store and retrieve large amounts of data
AWS Lambda is primarily used for serverless computing, executing code in response to various events such as changes in data, shifts in system state, or user actions.
In AWS Lambda, what happens when an event triggers a function?
- The function creates a new virtual machine to process the event
- The function is invoked with the event data passed as input
- The function is stored in S3 for later use
- The function sends the event data to a DynamoDB table
When an event triggers a Lambda function, the service automatically runs the function with the event data as input, without any need for provisioning or managing servers.
What are the key components of an AWS Lambda function?
- Bucket, Queue, Table, Topic
- EC2 Instance, Container, AMI, VPC
- Handler, Runtime, Memory, Timeout
- Trigger, Bucket, Queue, Table
The key components of an AWS Lambda function include the handler, runtime, memory allocation, and timeout, which collectively define the function's behavior and execution environment.
AWS Lambda functions are triggered by various __________ such as API Gateway, S3 events, and CloudWatch Events.
- Endpoints
- Events
- Resources
- Triggers
AWS Lambda functions are triggered by various events such as API Gateway, S3 events, and CloudWatch Events, allowing developers to build event-driven architectures for serverless applications.
AWS Lambda supports concurrent executions, allowing multiple instances of a function to run __________.
- exclusively
- sequentially
- simultaneously
- sporadically
AWS Lambda supports concurrent executions, allowing multiple instances of a function to run simultaneously, enhancing performance and scalability for serverless applications.
Scenario: You are designing a serverless architecture for a real-time analytics application. Which AWS service would you use to process incoming data streams and trigger AWS Lambda functions?
- Amazon Kinesis
- Amazon RDS
- Amazon Redshift
- Amazon S3
Amazon Kinesis is the preferred AWS service for processing incoming data streams and triggering AWS Lambda functions in real-time analytics applications, enabling efficient data processing and analysis.