Lab - Secure & Scalable Messaging with Amazon SQS: Hands-On Python Scripting, IAM Policies, Encryption, and AWS CLI Integration latest updated version |graded A+ |latest updated Version 2025

Lab - Secure & Scalable
Messaging with Amazon SQS:
Hands-On Python Scripting,
IAM Policies, Encryption, and
AWS CLI Integration latest
updated version
1. List all queues to retrieve the queue URL:
bash
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aws sqs list-queues
2. Get queue attributes (replace <QUEUE_URL> with your queue
URL):
bash
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aws sqs get-queue-attributes \
--queue-url <QUEUE_URL> \
--attribute-names All
Key attributes to review:
o ApproximateNumberOfMessages: Messages waiting in the
queue.
o ApproximateNumberOfMessagesNotVisible: Messages in
flight.
o Policy: Access control rules.
o CreatedTimestamp: Queue creation time.
3. Check for messages (optional):
Use ReceiveMessage to sample messages
(replace <QUEUE_URL> and <MAX-NUMBER>):

,bash
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aws sqs receive-message \
--queue-url <QUEUE_URL> \
--max-number-of-messages <MAX-NUMBER>



Q3: What are common security considerations when reviewing an
SQS queue?
A3:
 Access Policies: Ensure the queue policy follows the principle
of least privilege.
 Encryption: Verify if server-side encryption (SSE) is enabled
using AWS KMS.
 IAM Roles: Confirm that only authorized IAM roles/users have
permissions to interact with the queue.
 Dead-Letter Queues (DLQs): Check if a DLQ is configured to
handle failed messages.



Q4: Why are message counts approximate in SQS?
A4:
SQS is designed for high scalability and distributed systems, so
message counts (ApproximateNumberOfMessages) are not real-
time. They provide estimates to balance performance and accuracy.



Q5: How can I troubleshoot missing permissions for SQS CLI
commands?
A5:
 Ensure your AWS CLI is configured with credentials (via aws
configure).

,  Verify the IAM user/role has permissions for SQS actions
like sqs:ListQueues, sqs:GetQueueAttributes,
and sqs:ReceiveMessage.
 Use the --debug flag in the CLI to identify authorization errors.
Q2: How does the script connect to Amazon SQS?
A2:
The script uses the AWS SDK for Python (Boto3) to interact with
SQS. Key steps include:
1. Initializing the SQS client:
python
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import boto3
sqs = boto3.client('sqs', region_name='us-west-2')
2. Specifying the queue URL:
python
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queue_url =
'https://sqs.us-west-2.amazonaws.com/123456789012/my-queue'
3. Authentication: Credentials are typically loaded from the AWS
CLI configuration, IAM roles (e.g., EC2 instance profiles), or
environment variables.



Q3: How does the script retrieve messages from the queue?
A3:
The script uses the receive_message API call:
python
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response = sqs.receive_message(
QueueUrl=queue_url,
MaxNumberOfMessages=10, # Retrieve up to 10 messages per
call

, WaitTimeSeconds=20 # Enable long polling
)
messages = response.get('Messages', [])
 Long polling: WaitTimeSeconds reduces empty responses by
waiting for messages to arrive.
 MaxNumberOfMessages: Controls batch size for efficiency.



Q4: How are processed messages deleted from the queue?
A4:
After processing, the script deletes each message using
its ReceiptHandle:
python
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for message in messages:
# Process message (e.g., log body)
print(message['Body'])


# Delete message
sqs.delete_message(
QueueUrl=queue_url,
ReceiptHandle=message['ReceiptHandle']
)
 ReceiptHandle: A temporary token confirming message
visibility.
 Idempotency: Ensure processing is repeatable to handle
potential duplicates.



Q5: What security best practices should the script follow?
A5: