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The AWS Certified Solutions Architect - Associate (SAA-C02) Exam is a highly sought-after certification by organizations looking for skilled AWS Solutions Architects. It is recognized globally and is a testament to an individual's expertise in designing and deploying AWS systems. AWS Certified Solutions Architect - Associate (SAA-C03) certification is valid for two years and can be renewed by passing a recertification exam or by earning a higher-level certification.
The AWS Certified Solutions Architect - Associate certification is essential for professionals looking to advance their careers in cloud computing. It is a globally recognized certification that demonstrates an individual's expertise in designing, deploying, and managing AWS-based applications. AWS Certified Solutions Architect - Associate (SAA-C03) certification also validates a candidate's knowledge of AWS services, security, and compliance.
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The AWS-Solutions-Architect-Associate certification exam is offered by Amazon Web Services (AWS) and is designed to validate the technical skills and expertise of professionals working in cloud computing. AWS Certified Solutions Architect - Associate (SAA-C03) certification exam is intended for those who have experience in designing and deploying scalable, highly available, and fault-tolerant systems in AWS. The AWS-Solutions-Architect-Associate Exam can help professionals demonstrate their proficiency in AWS services and solutions to potential employers and clients.
NEW QUESTION # 617
When an EC2 instance that is backed by an S3-based AMI is terminated, what happens to the data on the root volume?
Answer: A
NEW QUESTION # 618
A company has deployed its application on Amazon EC2 instances with an Amazon RDS database. The company used the principle of least privilege to configure the database access credentials. The company's security team wants to protect the application and the database from SQL injection and other web-based attacks.
Which solution will meet these requirements with the LEAST operational overhead?
Answer: C
Explanation:
AWS WAF is a web application firewall that helps protect web applications from common web exploits that could affect application availability, compromise security, or consume excessive resources. AWS WAF allows users to create rules that block, allow, or count web requests based on customizable web security rules. One of the types of rules that can be created is an SQL injection rule, which allows users to specify a list of IP addresses or IP address ranges that they want to allow or block. By using AWS WAF to protect the application, the company can prevent SQL injection and other web-based attacks from reaching the application and the database.
RDS parameter groups are collections of parameters that define how a database instance operates. Users can modify the parameters in a parameter group to change the behavior and performance of the database. By using RDS parameter groups to configure the security settings, the company can enforce best practices such as disabling remote root login, requiring SSL connections, and limiting the maximum number of connections.
The other options are not correct because they do not effectively protect the application and the database from SQL injection and other web-based attacks. Using security groups and network ACLs to secure the database and application servers is not sufficient because they only filter traffic at the network layer, not at the application layer. Using AWS Network Firewall to protect the application and the database is not necessary because it is a stateful firewall service that provides network protection for VPCs, not for individual applications or databases. Using different database accounts in the application code for different functions is a good practice, but it does not prevent SQL injection attacks from exploiting vulnerabilities in the application code.
References:
AWS WAF
How AWS WAF works
Working with IP match conditions
Working with DB parameter groups
Amazon RDS security best practices
NEW QUESTION # 619
You have deployed a web application targeting a global audience across multiple AWS Regions under the domain name.example.com. You decide to use Route53 Latency-Based Routing to serve web requests to users from the region closest to the user. To provide business continuity in the event of server downtime you configure weighted record sets associated with two web servers in separate Availability Zones per region. Dunning a DR test you notice that when you disable all web servers in one of the regions Route53 does not automatically direct all users to the other region.
What could be happening? (Choose 2 answers)
Answer: A,C
Explanation:
Explanation/Reference:
Explanation:
How Health Checks Work in Complex Amazon Route 53 Configurations
Checking the health of resources in complex configurations works much the same way as in simple configurations. However, in complex configurations, you use a combination of alias resource record sets (including weighted alias, latency alias, and failover alias) and nonalias resource record sets to build a decision tree that gives you greater control over how Amazon Route 53 responds to requests. For more information, see How Health Checks Work in Simple Amazon Route 53 Configurations.
For example, you might use latency alias resource record sets to select a region close to a user and use weighted resource record sets for two or more resources within each region to protect against the failure of a single endpoint or an Availability Zone. The following diagram shows this configuration.
Here's how Amazon EC2 and Amazon Route 53 are configured:
You have Amazon EC2 instances in two regions, us-east-1 and ap-southeast-2. You want Amazon Route 53 to respond to queries by using the resource record sets in the region that provides the lowest latency for your customers, so you create a latency alias resource record set for each region. (You create the latency alias resource record sets after you create resource record sets for the individual Amazon EC2 instances.) Within each region, you have two Amazon EC2 instances. You create a weighted resource record set for each instance. The name and the type are the same for both of the weighted resource record sets in each region.
When you have multiple resources in a region, you can create weighted or failover resource record sets for your resources. You can also create even more complex configurations by creating weighted alias or failover alias resource record sets that, in turn, refer to multiple resources.
Each weighted resource record set has an associated health check. The IP address for each health check matches the IP address for the corresponding resource record set. This isn't required, but it's the most common configuration.
For both latency alias resource record sets, you set the value of Evaluate Target Health to Yes.
You use the Evaluate Target Health setting for each latency alias resource record set to make Amazon Route 53 evaluate the health of the alias targets-the weighted resource record sets-and respond accordingly.
The preceding diagram illustrates the following sequence of events:
Amazon Route 53 receives a query for example.com. Based on the latency for the user making the request, Amazon Route 53 selects the latency alias resource record set for the us-east-1 region.
Amazon Route 53 selects a weighted resource record set based on weight. Evaluate Target Health is Yes for the latency alias resource record set, so Amazon Route 53 checks the health of the selected weighted resource record set.
The health check failed, so Amazon Route 53 chooses another weighted resource record set based on weight and checks its health. That resource record set also is unhealthy.
Amazon Route 53 backs out of that branch of the tree, looks for the latency alias resource record set with the next-best latency, and chooses the resource record set for ap-southeast-2.
Amazon Route 53 again selects a resource record set based on weight, and then checks the health of the selected resource record set. The health check passed, so Amazon Route 53 returns the applicable value in response to the query.
What Happens When You Associate a Health Check with an Alias Resource Record Set?
You can associate a health check with an alias resource record set instead of or in addition to setting the value of Evaluate Target Health to Yes. However, it's generally more useful if Amazon Route 53 responds to queries based on the health of the underlying resources-the HTTP servers, database servers, and other resources that your alias resource record sets refer to. For example, suppose the following configuration:
You assign a health check to a latency alias resource record set for which the alias target is a group of weighted resource record sets.
You set the value of Evaluate Target Health to Yes for the latency alias resource record set.
In this configuration, both of the following must be true before Amazon Route 53 will return the applicable value for a weighted resource record set:
The health check associated with the latency alias resource record set must pass.
At least one weighted resource record set must be considered healthy, either because it's associated with a health check that passes or because it's not associated with a health check. In the latter case, Amazon Route 53 always considers the weighted resource record set healthy.
If the health check for the latency alias resource record set fails, Amazon Route 53 stops responding to queries using any of the weighted resource record sets in the alias target, even if they're all healthy.
Amazon Route 53 doesn't know the status of the weighted resource record sets because it never looks past the failed health check on the alias resource record set.
What Happens When You Omit Health Checks?
In a complex configuration, it's important to associate health checks with all of the non-alias resource record sets. Let's return to the preceding example, but assume that a health check is missing on one of the weighted resource record sets in the us-east-1 region:
Here's what happens when you omit a health check on a non-alias resource record set in this configuration:
Amazon Route 53 receives a query for example.com. Based on the latency for the user making the request, Amazon Route 53 selects the latency alias resource record set for the us-east-1 region.
Amazon Route 53 looks up the alias target for the latency alias resource record set, and checks the status of the corresponding health checks. The health check for one weighted resource record set failed, so that resource record set is omitted from consideration.
The other weighted resource record set in the alias target for the us-east-1 region has no health check.
The corresponding resource might or might not be healthy, but without a health check, Amazon Route 53 has no way to know. Amazon Route 53 assumes that the resource is healthy and returns the applicable value in response to the query.
What Happens When You Set Evaluate Target Health to No?
In general, you also want to set Evaluate Target Health to Yes for all of the alias resource record sets. In the following example, all of the weighted resource record sets have associated health checks, but Evaluate Target Health is set to No for the latency alias resource record set for the us-east-1 region:
Here's what happens when you set Evaluate Target Health to No for an alias resource record set in this configuration:
Amazon Route 53 receives a query for example.com. Based on the latency for the user making the request, Amazon Route 53 selects the latency alias resource record set for the us-east-1 region.
Amazon Route 53 determines what the alias target is for the latency alias resource record set, and checks the corresponding health checks. They're both failing.
Because the value of Evaluate Target Health is No for the latency alias resource record set for the us-east-
1 region, Amazon Route 53 must choose one resource record set in this branch instead of backing out of the branch and looking for a healthy resource record set in the ap-southeast-2 region.
NEW QUESTION # 620
After setting up a Virtual Private Cloud (VPC) network, a more experienced cloud engineer suggests that to achieve low network latency and high network throughput you should look into setting up a placement group. You know nothing about this, but begin to do some research about it and are especially curious about its limitations. Which of the below statements is wrong in describing the limitations of a placement group?
Answer: B
Explanation:
A placement group is a logical grouping of instances within a single Availability Zone. Using placement groups enables applications to participate in a low-latency, 10 Gbps network. Placement groups are recommended for applications that benefit from low network latency, high network throughput, or both. To provide the lowest latency, and the highest packet-per-second network performance for your placement group, choose an instance type that supports enhanced networking.
Placement groups have the following limitations:
The name you specify for a placement group a name must be unique within your AWS account.
A placement group can't span multiple Availability Zones.
Although launching multiple instance types into a placement group is possible, this reduces the likelihood that the required capacity will be available for your launch to succeed. We recommend using the same instance type for all instances in a placement group.
You can't merge placement groups. Instead, you must terminate the instances in one placement group, and then relaunch those instances into the other placement group.
A placement group can span peered VPCs; however, you will not get full-bisection bandwidth between instances in peered VPCs. For more information about VPC peering connections, see VPC Peering in the Amazon VPC User Guide.
You can't move an existing instance into a placement group. You can create an AMI from your existing instance, and then launch a new instance from the AMI into a placement group.
Reference: http://docs.aws.amazon.com/AWSEC2/latest/UserGuide/placement-groups.html
NEW QUESTION # 621
A hospital is designing a new application that gathers symptoms from patients. The hospital has decided to use Amazon Simple Queue Service (Amazon SOS) and Amazon Simple Notification Service (Amazon SNS) in the architecture.
A solutions architect is reviewing the infrastructure design Data must be encrypted at test and in transit. Only authorized personnel of the hospital should be able to access the data.
Which combination of steps should the solutions architect take to meet these requirements? (Select TWO.)
Answer: A,D
Explanation:
https://docs.aws.amazon.com/sns/latest/dg/sns-server-side-encryption.htmlhttps://docs.aws.amazon.com
/AWSSimpleQueueService/latest/SQSDeveloperGuide/sqs-server-side-encryption.html
NEW QUESTION # 622
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