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NEW QUESTION: 1
You have an application running on Amazon EC2 in an Auto Scaling group. Instances are being bootstrapped dynamically, and the bootstrapping takes over 15 minutes to complete. You find that instances are reported by Auto Scaling as being In Service before bootstrapping has completed. You are receiving application alarms related to new instances before they have completed bootstrapping, which is causing confusion. You find the cause: your application monitoring tool is polling the Auto Scaling Service API for instances that are In Service, and creating alarms for new previously unknown instances. Which of the following will ensure that new instances are not added to your application monitoring tool before bootstrapping is completed?
A. Create an Auto Scaling group lifecycle hook to hold the instance in a pending: wait state until your bootstrapping is complete. Once bootstrapping is complete, notify Auto Scaling to complete the lifecycle hook and move the instance into a pending:proceed state.
B. Use the default Amazon Cloud Watch application metrics to monitor your application's health.
Configure an Amazon SNS topic to send these Cloud Watch alarms to the correct recipients.
C. Increase the desired number of instances in your Auto Scaling group configuration to reduce the time it takes to bootstrap future instances.
D. Tag all instances on launch to identify that they are in a pending state. Change your application monitoring tool to look for this tag before adding new instances, and the use the Amazon API to set the instance state to 'pending' until bootstrapping is complete.
Answer: A
Explanation:
Explanation
Auto Scaling lifecycle hooks enable you to perform custom actions as Auto Scaling launches or terminates instances. For example, you could install or configure software on newly launched instances, or download log files from an instance before it terminates.
After you add lifecycle hooks to your Auto Scaling group, they work as follows:
1. Auto Scaling responds to scale out events by launching instances and scale in events by terminating instances.
2. Auto Scaling puts the instance into a wait state (Pending:Wait orTerminating:Wait). The instance remains in this state until either you tell Auto Scaling to continue or the timeout period ends.
For more information on rolling updates, please visit the below link:
* http://docs.aws.amazon.com/autoscaling/latest/userguide/lifecycle-hooks.html

NEW QUESTION: 2
A 30-year-old client has been admitted to the psychiatric service with the diagnosis of schizophrenia. He tells the nurse that when the woman he had been dating broke up with him, the CIA had replaced her with an identical twin. The client is experiencing:
A. Paranoid delusions
B. Grandiose delusions
C. Auditory hallucinations
D. Visual hallucinations
Answer: A
Explanation:
(A) There are no indications that the client's thoughts reflect special powers or talents characteristic of grandiosity. (B) The client's thought content is fixed, false, persecutory,
and suspicious in nature, which is characteristic of paranoid delusions. (C, D) The client is
not demonstrating a sensory experience.

NEW QUESTION: 3
A company must generate sales reports at the beginning of every month. The reporting process launches 20 Amazon EC2 instances on the first of the month. The process runs for 7 days and cannot be interrupted. The company wants to minimize costs.
Which pricing model should the company choose?
A. Spot Block Instances
B. Scheduled Reserved Instances
C. Reserved Instances
D. On-Demand Instances
Answer: B
Explanation:
Explanation
Scheduled Reserved Instances
Scheduled Reserved Instances (Scheduled Instances) enable you to purchase capacity reservations that recur on a daily, weekly, or monthly basis, with a specified start time and duration, for a one-year term. You reserve the capacity in advance, so that you know it is available when you need it. You pay for the time that the instances are scheduled, even if you do not use them.
Scheduled Instances are a good choice for workloads that do not run continuously, but do run on a regular schedule. For example, you can use Scheduled Instances for an application that runs during business hours or for batch processing that runs at the end of the week.
If you require a capacity reservation on a continuous basis, Reserved Instances might meet your needs and decrease costs.
How Scheduled Instances Work
Amazon EC2 sets aside pools of EC2 instances in each Availability Zone for use as Scheduled Instances. Each pool supports a specific combination of instance type, operating system, and network.
To get started, you must search for an available schedule. You can search across multiple pools or a single pool. After you locate a suitable schedule, purchase it.
You must launch your Scheduled Instances during their scheduled time periods, using a launch configuration that matches the following attributes of the schedule that you purchased: instance type, Availability Zone, network, and platform. When you do so, Amazon EC2 launches EC2 instances on your behalf, based on the specified launch specification. Amazon EC2 must ensure that the EC2 instances have terminated by the end of the current scheduled time period so that the capacity is available for any other Scheduled Instances it is reserved for. Therefore, Amazon EC2 terminates the EC2 instances three minutes before the end of the current scheduled time period.
You can't stop or reboot Scheduled Instances, but you can terminate them manually as needed. If you terminate a Scheduled Instance before its current scheduled time period ends, you can launch it again after a few minutes. Otherwise, you must wait until the next scheduled time period.
The following diagram illustrates the lifecycle of a Scheduled Instance.

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-scheduled-instances.html

NEW QUESTION: 4
Which of the following techniques is used in businesses to determine the effect different costs or investments have on profit and other financial indicators?
A. What-if scenario analysis
B. Root cause analysis
C. Resource leveling
D. Schedule analysis
Answer: A
Explanation:
What-if scenario analysis explains the analysis of the question "What if the situation represented by scenario 'X' happens?". This What-If Scenario Analysis shortly named as WIS
A. A schedule network analysis is performed using the schedule to compute the different scenarios, such as extending specific engineering durations, or delaying a major component delivery. Businesses use what-if scenarios to determine the effect different costs or investments have on profit and other financial indicators. Answer option A is incorrect. The schedule analysis is the review of the schedule, but does not examine other possibilities for completing the project work. Answer option D is incorrect. The root cause analysis helps to determine the reasons why the project is running late. Answer option B is incorrect. The resource leveling causes the project's duration to increase. It is a technique that resolves resource conflicts by delaying tasks within their slack allowances. The resource leveling is the process in which project teams come across problems when developing their project schedules.