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Amazon AWS Certified Solutions Architect - Associate (SAA-C03) Exam SAA-C03 Prüfungsfragen mit Lösungen (Q77-Q82):

77. Frage
A company is storing sensitive user information in an Amazon S3 bucket The company wants to provide secure access to this bucket from the application tier running on Ama2on EC2 instances inside a VPC Which combination of steps should a solutions architect take to accomplish this? (Select TWO.)

A. Create a bucket policy that limits access to only the application tier running in the VPC
B. Create a NAT instance and have the EC2 instances use the NAT instance to access the S3 bucket
C. Create a bucket policy to make the objects to the S3 bucket public
D. Create an 1AM user with an S3 access policy and copy the IAM credentials to the EC2 instance
E. Configure a VPC gateway endpoint for Amazon S3 within the VPC

Antwort: A,E

Begründung:
https://aws.amazon.com/premiumsupport/knowledge-center/s3-private-connection-no-authentication/

78. Frage
A company has a web application hosted in AWS cloud where the application logs are sent to Amazon CloudWatch. Lately, the web application has recently been encountering some errors which can be resolved simply by restarting the instance.
What will you do to automatically restart the EC2 instances whenever the same application error occurs?

A. First, look at the existing CloudWatch logs for keywords related to the application error to create a custom metric. Then, create a CloudWatch alarm for that custom metric which invokes an action to restart the EC2 instance.
B. First, look at the existing Flow logs for keywords related to the application error to create a custom metric. Then, create a CloudWatch alarm for that custom metric which calls a Lambda function that invokes an action to restart the EC2 instance.
C. First, look at the existing Flow logs for keywords related to the application error to create a custom metric. Then, create a CloudWatch alarm for that custom metric which invokes an action to restart the EC2 instance.
D. First, look at the existing CloudWatch logs for keywords related to the application error to create a custom metric. Then, create an alarm in Amazon SNS for that custom metric which invokes an action to restart the EC2 instance.

Antwort: A

Begründung:
In this scenario, you can look at the existing CloudWatch logs for keywords related to the application error to create a custom metric. Then, create a CloudWatch alarm for that custom metric which invokes an action to restart the EC2 instance.
You can create alarms that automatically stop, terminate, reboot, or recover your EC2 instances using Amazon CloudWatch alarm actions. You can use the stop or terminate actions to help you save money when you no longer need an instance to be running. You can use the reboot and recover actions to automatically reboot those instances or recover them onto new hardware if a system impairment occurs.
Hence, the correct answer is: First, look at the existing CloudWatch logs for keywords related to the application error to create a custom metric. Then, create a CloudWatch alarm for that custom metric which invokes an action to restart the EC2 instance.

The option that says: First, look at the existing CloudWatch logs for keywords related to the application error to create a custom metric. Then, create an alarm in Amazon SNS for that custom metric which invokes an action to restart the EC2 instance is incorrect because you can't create an alarm in Amazon SNS.
The following options are incorrect because Flow Logs are used in VPC and not on specific EC2 instance:
- First, look at the existing Flow logs for keywords related to the application error to create a custom metric. Then, create a CloudWatch alarm for that custom metric which invokes an action to restart the EC2 instance.
First, look at the existing Flow logs for keywords related to the application error to create a custom metric. Then, create a CloudWatch alarm for that custom metric which calls a Lambda function that invokes an action to restart the EC2 instance.
Explanation:
Reference:
https://docs.aws.amazon.com/AmazonCloudWatch/latest/monitoring/UsingAlarmActions.html Check out this Amazon CloudWatch Cheat Sheet: https://tutorialsdojo.com/amazon-cloudwatch/

79. Frage
A company wants to migrate its 1 PB on-premises image repository to AWS. The images will be used by a serverless web application Images stored in the repository are rarely accessed, but they must be immediately available Additionally, the images must be encrypted at rest and protected from accidental deletion Which solution meets these requirements?

A. Implement client-side encryption and store the images in an Amazon S3 Glacier vault Set a vault lock to prevent accidental deletion
B. Store the images in an Amazon FSx for Windows File Server file share Configure the Amazon FSx file share to use an AWS Key Management Service (AWS KMS) customer master key (CMK) to encrypt the images in the file share Use NTFS permission sets on the images to prevent accidental deletion
C. Store the images in an Amazon Elastic File System (Amazon EFS) file share in the Infrequent Access storage class Configure the EFS file share to use an AWS Key Management Service (AWS KMS) customer master key (CMK) to encrypt the images in the file share. Use NFS permission sets on the images to prevent accidental deletion
D. Store the images in an Amazon S3 bucket in the S3 Standard-Infrequent Access (S3 Standard-IA) storage class Enable versioning default encryption and MFA Delete on the S3 bucket.

Antwort: D

80. Frage
A media company hosts large volumes of archive data that are about 250 TB in size on their internal servers. They have decided to move these data to S3 because of its durability and redundancy. The company currently has a 100 Mbps dedicated line connecting their head office to the Internet.
Which of the following is the FASTEST and the MOST cost-effective way to import all these data to Amazon S3?

A. Upload it directly to S3
B. Use AWS Snowmobile to transfer the data over to S3.
C. Order multiple AWS Snowball devices to upload the files to Amazon S3.
D. Establish an AWS Direct Connect connection then transfer the data over to S3.

Antwort: C

Begründung:
AWS Snowball is a petabyte-scale data transport solution that uses secure appliances to transfer large amounts of data into and out of the AWS cloud. Using Snowball addresses common challenges with large-scale data transfers, including high network costs, long transfer times, and security concerns.
Transferring data with Snowball is simple, fast, secure, and can be as little as one-fifth the cost of high- speed Internet.

Snowball is a strong choice for data transfer if you need to more securely and quickly transfer terabytes to many petabytes of data to AWS. Snowball can also be the right choice if you don't want to make expensive upgrades to your network infrastructure, if you frequently experience large backlogs of data, if you're located in a physically isolated environment, or if you're in an area where high-speed Internet connections are not available or cost-prohibitive.
As a rule of thumb, if it takes more than one week to upload your data to AWS using the spare capacity of your existing Internet connection, then you should consider using Snowball. For example, if you have a 100 Mb connection that you can solely dedicate to transferring your data and need to transfer 100 TB of data, it takes more than 100 days to complete data transfer over that connection. You can make the same transfer by using multiple Snowballs in about a week.

Hence, ordering multiple AWS Snowball devices to upload the files to Amazon S3 is the correct answer.
Uploading it directly to S3 is incorrect since this would take too long to finish due to the slow Internet connection of the company.
Establishing an AWS Direct Connect connection then transferring the data over to S3 is incorrect since provisioning a line for Direct Connect would take too much time and might not give you the fastest data transfer solution. In addition, the scenario didn't warrant an establishment of a dedicated connection from your on-premises data center to AWS. The primary goal is to just do a one-time migration of data to AWS which can be accomplished by using AWS Snowball devices.
Using AWS Snowmobile to transfer the data over to S3 is incorrect because Snowmobile is more suitable if you need to move extremely large amounts of data to AWS or need to transfer up to 100PB of data. This will be transported on a 45-foot long ruggedized shipping container, pulled by a semi-trailer truck. Take note that you only need to migrate 250 TB of data, hence, this is not the most suitable and cost-effective solution.
References:
https://aws.amazon.com/snowball/
https://aws.amazon.com/snowball/faqs/
S3 Transfer Acceleration vs Direct Connect vs VPN vs Snowball vs Snowmobile:
https://tutorialsdojo.com/s3-transfer-acceleration-vs-direct-connect-vs-vpn-vs-snowball-vs-snowmobile/ Comparison of AWS Services Cheat Sheets:
https://tutorialsdojo.com/comparison-of-aws-services/

81. Frage
A company's security team requests that network traffic be captured in VPC Flow Logs. The logs will be frequently accessed for 90 days and then accessed intermittently.
What should a solutions architect do to meet these requirements when configuring the logs?

A. Use AWS CloudTrail as the target. Configure CloudTrail to save to an Amazon S3 bucket, and enable S3 Intelligent-Tiering.
B. Use Amazon S3 as the target. Enable an S3 Lifecycle policy to transition the logs to S3 Standard-Infrequent Access (S3 Standard-IA) after 90 days.
C. Use Amazon Kinesis as the target. Configure the Kinesis stream to always retain the logs for 90 days.
D. Use Amazon CloudWatch as the target. Set the CloudWatch log group with an expiration of 90 days

Antwort: B

Begründung:
Explanation
There's a table here that specifies that VPC Flow logs can go directly to S3. Does not need to go via CloudTrail and then to S3. Nor via CW.
https://docs.aws.amazon.com/AmazonCloudWatch/latest/logs/AWS-logs-and-resource-policy.html#AWS-logs-i

82. Frage
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