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Amazon AWS Certified Solutions Architect - Associate (SAA-C02) Sample Questions (Q356-Q361):
NEW QUESTION # 356
Your system recently experienced down time during the troubleshooting process. You found that a new administrator mistakenly terminated several production EC2 instances.
Which of the following strategies will help prevent a similar situation in the future?
The administrator still must be able to:
- launch, start stop, and terminate development resources.
- launch and start production instances.
- A. Leverage EC2 termination protection and multi-factor authentication, which together require users to authenticate before terminating EC2 instances
- B. Create an lAM user and apply an lAM role which prevents users from terminating production EC2 instances.
- C. Create an lAM user, which is not allowed to terminate instances by leveraging production EC2 termination protection.
- D. Leverage resource based tagging along with an lAM user, which can prevent specific users from terminating production EC2 resources.
Answer: D
Explanation:
Working with volumes
When an API action requires a caller to specify multiple resources, you must create a policy statement that allows users to access all required resources. If you need to use a Condition element with one or more of these resources, you must create multiple statements as shown in this example.
The following policy allows users to attach volumes with the tag "volume_user=iam-user-name" to instances with the tag "department=dev", and to detach those volumes from those instances. If you attach this policy to an lAM group, the aws:username policy variable gives each lAM user in the group permission to attach or detach volumes from the instances with a tag named volume_ user that has his or her lAM user name as a value.
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": [
"ec2:AttachVolume",
"ec2:DetachVolume"
],
"Resource": "arn :aws:ec2:us-east-1:123456789012:instanee/*",
"Condition": {
"StringEquals": {
"ec2:ResourceTag/department": "dev"
}
}
},
{
"Effect": "Allow",
"Action": [
"ec2:AttachVolume",
"ec2:DetachVolume"
],
"Resource": "arn:aws:ec2:us-east-1:123456789012:volume/*",
"Condition": {
"StringEquals": {
"ec2:ResourceTag/volume_user": "${aws:username}"
}
}
}
]
}
Launching instances (Runlnstances)
The Runlnstances API action launches one or more instances. Runlnstances requires an AMI and creates an instance; and users can specify a key pair and security group in the request. Launching into EC2-VPC requires a subnet, and creates a network interface. Launching from an Amazon EBS-backed AMI creates a volume. Therefore, the user must have permission to use these Amazon EC2 resources. The caller can also configure the instance using optional parameters to Run Instances, such as the instance type and a subnet. You can create a policy statement that requires users to specify an optional parameter, or restricts users to particular values for a parameter. The examples in this section demonstrate some of the many possible ways that you can control the configuration of an instance that a user can launch.
Note that by default, users don't have permission to describe, start, stop, or terminate the resulting instances. One way to grant the users permission to manage the resulting instances is to create a specific tag for each instance, and then create a statement that enables them to manage instances with that tag.
For more information, see 2: Working with instances.
a. AMI
The following policy allows users to launch instances using only the AMIs that have the specified tag,
"department=dev", associated with them. The users can't launch instances using other AM Is because the Condition element of the first statement requires that users specify an AMI that has this tag. The users also can't launch into a subnet, as the policy does not grant permissions for the subnet and network interface resources. They can, however, launch into EC2-Ciassic. The second statement uses a wildcard to enable users to create instance resources, and requires users to specify the key pair project_keypair and the security group sg-1a2b3c4d. Users are still able to launch instances without a key pair.
{
"Version": "2012-10-17",
"Statement": [{
},
{
"Effect": "Allow",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region::image/ami-*"
],
"Condition": {
"StringEquals": {
"ec2:ResourceTag/department": "dev"
}
}
},
{
"Effect": "Allow",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region:account:instance/*",
"arn:aws:ec2:region:account:volume/*",
"arn:aws:ec2:region:account:key-pair/project_keypair",
"arn :aws :ec2: region: account:security-group/sg-1a 2b3c4d"
]
}
]
}
Alternatively, the following policy allows users to launch instances using only the specified AMIs, ami-9e1670f7 and ami-45cf5c3c. The users can't launch an instance using other AMIs (unless another statement grants the users permission to do so), and the users can't launch an instance into a subnet.
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region::image/ami-9e1670f7",
"arn:aws:ec2:region::image/ami-45cf5c3c",
"arn:aws:ec2:region:account:instance/*",
"arn:aws:ec2:region:account:volume/*",
"arn:aws:ec2:region:account:key-pair/*",
"arn:aws:ec2:region:account:security-group/*"
]
}
]
}
Alternatively, the following policy allows users to launch instances from all AMIs owned by Amazon.
The Condition element of the first statement tests whether ec2:0wner is amazon. The users can't launch an instance using other AM Is (unless another statement grants the users permission to do so).
The users are able to launch an instance into a subnet.
"Version": "2012-10-17",
"Statement": [{
"Effect": "Al low",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region::image/ami-*"
],
"Condition": {
"StringEquals": {
"ec2:0wner": "amazon"
}
},
{
"Effect": "Allow",
"Action": "ec2:Runlnstances",
"Resource" : [
"arn:aws:ec2:region:account:instance/*",
"arn:aws:ec2:region:account:subnet/*",
"arn:aws:ec2:region:account:volume/*",
"arn:aws:ec2:region:account:network-interface/*",
"arn:aws:ec2:region:account:key-pair/*",
"arn:aws:ec2:region:account:security-group/*"
]
}
]
}
b. Instance type
The following policy allows users to launch instances using only the t2.micro or t2.small instance type, which you might do to control costs. The users can't launch larger instances because the Condition element of the first statement tests whether ec2:1nstanceType is either t2.micro or t2.small.
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Al low",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region:account:instance/*"
],
"Condition": {
"StringEquals": {
"ec2:1nstanceType": ["t2.micro", "t2.small"]
}
}
},
{
"Effect": "Allow",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region::image/ami-*",
"arn:aws:ec2:region:account:subnet/*",
"arn:aws:ec2:region:account:network-interface/*",
"arn:aws:ec2:region:account:volume/*",
"arn:aws:ec2:region:account:key-pair/*",
"arn:aws:ec2:region:account:security-group/*"
]
}
]
}
Alternatively, you can create a policy that denies users permission to launch any instances except t2.micro and t2.small instance types.
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Deny",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region:account:instance/*"
],
"Condition": {
"StringNotEquals": {
"ec2:1nstanceType": ["t2.micro", "t2.small"]
}
}
},
{
"Effect": "Allow",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region::image/ami-*",
"arn:aws:ec2:region:account:network-interface/* ",
"arn:aws:ec2:region:account:instance/*",
"arn:aws:ec2:region:account:subnet/*",
"arn:aws:ec2:region:account:volume/*",
"arn:aws:ec2:region:account:key-pair/*",
"arn:aws:ec2:region:account:security-group/*"
]
}
]
}
c. Subnet
The following policy allows users to launch instances using only the specified subnet, subnet-12345678.
The group can't launch instances into any another subnet (unless another statement grants the users permission to do so). Users are still able to launch instances into EC2-Ciassic.
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Allow",
"Action": "ec2:Runlnstances",
"Resource": [
"arn :aws :ec2: region:account:subnet/subnet-123456 78",
"arn:aws:ec2:region:account:network-interface/*",
"arn:aws:ec2:region:account:instance/*",
"arn:aws:ec2:region:account:volume/*",
"arn:aws:ec2:region::image/ami-*",
"arn:aws:ec2:region:account:key-pair/*",
"arn:aws:ec2:region:account:security-group/*"
]
}
]
}
Alternatively, you could create a policy that denies users permission to launch an instance into any other subnet. The statement does this by denying permission to create a network interface, except where subnet subnet-12345678 is specified. This denial overrides any other policies that are created to allow launching instances into other subnets. Users are still able to launch instances into EC2-Classic.
{
"Version": "2012-10-17",
"Statement": [{
"Effect": "Deny",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region:account:network-interface/*"
],
"Condition": {
"ArnNotEquals": {
"ec2:Subnet": "arn :aws:ec2:region:account:subnet/subnet-12345678"
}
}
},
{
"Effect": "Allow",
"Action": "ec2:Runlnstances",
"Resource": [
"arn:aws:ec2:region::image/ami-*",
"arn:aws:ec2:region:account:network-interface/*",
"arn:aws:ec2:region:account:instance/*",
"arn:aws:ec2:region:account:subnet/*",
"arn:aws:ec2:region:account:volume/*",
"arn:aws:ec2:region:account:key-pair/*",
"arn:aws:ec2:region:account:security-group/*"
]
}
]
}
NEW QUESTION # 357
You deployed your company website using Elastic Beanstalk and you enabled log file rotation to S3. An Elastic Map Reduce job is periodically analyzing the logs on S3 to build a usage dashboard that you share with your CIO.
You recently improved overall performance of the website using Cloud Front for dynamic content delivery and your website as the origin.
After this architectural change, the usage dashboard shows that the traffic on your website dropped by an order of magnitude.
How do you fix your usage dashboard?
- A. Change your log collection process to use Cloud Watch ELB metrics as input of the Elastic Map Reduce job
- B. Turn on Cloud Trail and use trail log tiles on S3 as input of the Elastic Map Reduce job
- C. Enable Cloud Front to deliver access logs to S3 and use them as input of the Elastic Map Reduce job.
- D. Use Elastic Beanstalk "Restart App server(s)" option to update log delivery to the Elastic Map Reduce job.
- E. Use Elastic Beanstalk "Rebuild Environment" option to update log delivery to the Elastic Map Reduce job.
Answer: E
Explanation:
http://docs.aws.amazon.com/AmazonCloudFront/latest/DeveloperGuide/AccessLogs.html
NEW QUESTION # 358
A company wants to migrate its web application to AWS. The legacy web application consists of a web tier, an application tier, and a MySQL database. The re-architected application must consist of technologies that do not require the administration team to manage instances or clusters.
Which combination of services should a solutions architect include in Ihe overall architecture? (Select TWO)
- A. Amazon Aurora Serverless
- B. AWS Fargate
- C. Amazon RDS for MySQL
- D. Amazon EC2 Spot Instances
- E. Amazon Elasticsearch Service (Amazon ES)
Answer: B,C
NEW QUESTION # 359
Does Route 53 support MX Records?
- A. Yes.
- B. It supports CNAME records, but not MX records.
- C. Only Primary MX records. Secondary MX records are not supported.
- D. No
Answer: A
NEW QUESTION # 360
You're running an application on-premises due to its dependency on non-x86 hardware and want to use AWS for data backup. Your backup application is only able to write to POSIX-compatible blockbased storage. You have 140TB of data and would like to mount it as a single folder on your file server Users must be able to access portions of this data while the backups are taking place. What backup solution would be most appropriate for this use case?
- A. Use Storage Gateway and configure it to use Gateway Stored volumes.
- B. Configure your backup software to use Glacier as the target for your data backups.
- C. Configure your backup software to use 53 as the target for your data backups.
- D. Use Storage Gateway and configure it to use Gateway Cached volumes.
Answer: D
Explanation:
Gateway-Cached Volume Architecture
Gateway-cached volumes let you use Amazon Simple Storage Service (Amazon 53) as your primary data storage while retaining frequently accessed data locally in your storage gateway. Gateway cached volumes minimize the need to scale your on-premises storage infrastructure, while still providing your applications with low-latency access to their frequently accessed data. You can create storage volumes up to 32 TIB in size and attach to them as iSCSI devices from your on-premises application servers. Your gateway stores data that you write to these volumes in Amazon 53 and retains recently read data in your on-premises storage gateway's cache and upload buffer storage.
Gateway-cached volumes can range from 1 GIB to 32 TIB in size and must be rounded to the nearest GIB.
Each gateway configured for gateway-cached volumes can support up to 32 volumes for a total maximum storage volume of 1,024 TIB (1 Pi B).
In the gateway-cached volume solution, AWS Storage Gateway stores all your on-premises application data in a storage volume in Amazon 53.
The following diagram provides an overview of the AWS Storage Gateway-cached volume deployment.
After you've installed the AWS Storage Gateway software appliance-the virtual machine (VM)-on a host in your data center and activated it, you can use the AWS Management Console to provision storage volumes backed by Amazon 53. You can also provision storage volumes programmatically using the AWS Storage Gateway API or the AWS SDK libraries. You then mount these storage volumes to your on-premises application servers as iSCSI devices.
You also al locate disks on-premises for the VM. These on-premises disks serve the following purposes:
Disks for use by the gateway as cache storage - As your applications write data to the storage volumes in AWS, the gateway initially stores the data on the on-premises disks referred to as cache storage before uploading the data to Amazon 53. The cache storage acts as the on-premises durable store for data that is waiting to upload to Amazon 53 from the upload buffer.
The cache storage also lets the gateway store your application's recently accessed data on-premises for low-latency access. If your application requests data, the gateway first checks the cache storage for the data before checking Amazon 53.
You can use the following guidelines to determine the amount of disk space to allocate for cache storage.
Generally, you should allocate at least 20 percent of your existing file store size as cache storage. Cache storage should also be larger than the upload buffer. This latter guideline helps ensure cache storage is large enough to persistently hold all data in the upload buffer that has not yet been uploaded to Amazon
5 3.
Disks for use by the gateway as the upload buffer - To prepare for upload to Amazon 53, your gateway also stores incoming data in a staging area, referred to as an upload buffer. Your gateway uploads this buffer data over an encrypted Secure Sockets Layer (SSL) connection to AWS, where it is stored encrypted in Amazon 53.
You can take incremental backups, called snapshots, of your storage volumes in Amazon 53. These point-in-time snapshots are also stored in Amazon 53 as Amazon EBS snapshots. When you take a new snapshot, only the data that has changed since your last snapshot is stored. You can initiate snapshots on a scheduled or one-time basis. When you delete a snapshot, only the data not needed for any other snapshots is removed.
You can restore an Amazon EBS snapshot to a gateway storage volume if you need to recover a backup of your data. Alternatively, for snapshots up to 16 TiB in size, you can use the snapshot as a starting point for a new Amazon EBS volume. You can then attach this new Amazon EBS volume to an Amazon EC2 instance.
All gateway-cached volume data and snapshot data is stored in Amazon 53 encrypted at rest using server-side encryption (SSE). However, you cannot access this data with the Amazon 53 API or other tools such as the Amazon 53 console.
NEW QUESTION # 361
......
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