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AWS Certified SysOps Administrator - Associate - Part 6

Mary Smith

Mon, 24 Mar 2025

AWS Certified SysOps Administrator - Associate - Part 6

1. A user intends to use AWS Cloud training for its automatic deployment needs. Among the items listed below are required as part of the model?

A) Resources
B) The exits
C) None
D) model version
E) Settings


2. You create an Auto Scaling group whose instances need to insert a custom metric in Watch clouds. Which method is the best way to authenticate your request Cloud Watch PUT?

A) None
B) Edit the appropriate Cloud Look metric policy to allow the permission to metric data instances of the Auto Scaling group
C) Create an IAM role with the authorization of metric Putting data and change the Auto Scaling launch configuration to launch instances in this role
D) Creating an IAM user with permission Data Set metrics and put the credentials in a private repository and applications on the server set for identifying the information necessary
E) Create IAM user with the authorization of metric Putting data and change the Auto Scaling launch configuration to inject user credentials in the instance of user data


3. You run a Web application where web servers on EC2 instances are in an Auto Scaling group supervision in the past six months shows that 6 Web servers are required to manage the minimum load during the day, up to 12 servers are required five six days a year, the required number of Web servers could be up to 1 5. What would you recommend to reduce costs while being able to provide availability?

A) 6 Reserved Instances (heavy use) 6 Reserved Instances (average use) rest covered by Spot Instances
B) 6 Reserved Instances (using heavy) 6 Spot Instances, rest covered by bodies on request
C) 6 cases (on the use of heavy). 6 cases on demand, the rest covered by Spot Instance
D) None
E) 6 cases (on the use of heavy). {6 Reserved Instances of average use), rest covered by bodies on request


4. You have an Auto Scaling group associated with an elastic load balancer (ELB). You noticed that instances launched by Auto Scaling group are marked unhealthy because of a health check ELB, but these cases are completed unhealthy What you must do to cases marked by unhealthy test the ELB will be terminated and replaced?

A) None
B) Change the thresholds on the Health Check of the Auto Scaling group
C) Edit the health control game on the Elastic Load Balancer to use TCP rather than HTTP controls
D) Add a balancing health check of the elastic load to your Auto Scaling group
E) Increase the value of the interval health check on the game Elastic Load Balancer


5. An application that you are managing EC2 instances and has Dynamo OB tables deployed in multiple AWS regions To monitor application performance in the world, you want to see two graphs 1) Average CPU usage on all EC2 instances and 2 ) Number of strangled the demands of all Dynamo DB tables. How can you accomplish this?

A) Add SNMP traps in each instance and Dynamo DB Table Leverage a central server data capture for monitoring each instance and a table Put the aggregated data in the cloud shows for graphics.
B) Add Cloud agent shows each instance and attach one to each table Dynamo DB. When configuring the agent set the name of the appropriate application and see the graphics in Watch cloud.
C) Use the CLI Cloud tools to pull shows the respective parameters of each point of termination comprehensive regional data offline and store for cloud graphically shows.
D) None
E) Tag your resources with the application name and select the name of the tag as the dimension in the Cloud Management Console shows to see the respective charts


1. Right Answer: A
Explanation: AWS Cloud formation is an application management tool that provides an application modeling, deployment, configuration, management and related activities. The model is a JSON format text file that describes all the AWS resources needed to deploy and run an application. It can have fields of options, such as model parameters, output, data tables, and the version of the model file format. The only required value resource. The user can define AWS services that will be used / created by this model in the resources section

2. Right Answer: E
Explanation:

3. Right Answer: B
Explanation:

4. Right Answer: D
Explanation: Add Elastic Load Balancing Check the health of your Auto Scaling group By default, an Auto Scaling Group periodically reviews the results of the state of the EC2 instance to determine the health status of each instance. However, if you've linked your Auto Scaling group with an elastic load load balancing balancing, you can choose to use the elastic load balancer health check. In this case, Auto Scaling determines the health of your instances by checking the results of both the control of the state of the EC2 instance and the balance sheet of the elastic body healthy load balancing. For more information on the controls of state of the EC2 instance, see Monitor instances with state controls in the User Guide for Linux Amazon EC2 instances. For information on the elastic load balancing health checks, see Health Check in the elastic load balancing Developer Guide. This section shows you how to add an elastic load balancer health check to your Auto Scaling group, assuming that you have created a load balancer and recorded the load balancer with your Auto Scaling group. If you have not registered the load balancer with your Auto Scaling group, see Configure Scaled Application and balanced load. Auto Scaling marks an unhealthy example, if the calls to action Describe Amazon EC2 Instance Status return any state other than running, shows the state of devalued system or calls to the elastic load balancing Describe the action example returns the health service in the state of the instance. If there are multiple load balancers associated with your Auto Scaling group, Auto Scaling checks the health of your EC2 instances by making health monitoring calls to each load balancer. For each call, if the action of elastic load balancing returns any state other than in the service, the instance is marked as unhealthy. After the Auto Scaling marks an instance as unhealthy, it remains in this state, even if the subsequent calls to other load balancers in the state of a service return to the same instance.

5. Right Answer: A
Explanation:

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