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NEW QUESTION: 1
IGMP interface group report information
Ethernet6/1/1(40.1.1.1): Total 1 IGMP Group reported Group: 232.0.0.1 UptimE.00:00:22 Expires: off Last reporter: 40.1.1.3 Last-member-query-counter: 0 Last-member-query-timer-expiry: off Group modE.include Version1-host-present-timer-expiry: off Version2-host-present-timer-expiry: off Source list: SourcE.20.1.1.56 UptimE.00:00:22 Expires: 00:05:08 Last-member-query-counter: 3 Last-member-query-timer-expiry: 00:00:01 SourcE.20.1.1.57 UptimE.00:00:22 Expires: 00:00:17 Last-member-query-counter: 3 Last-member-query-timer-expiry: 00:00:01
The preceding information shows the entry status of an IGMP interface on Ethernet 6/1/1 on a router.
Assume IGMP sends the group-and-source-specific Query message. Which of the following statements is true?
A. IGMP sends one message carrying two sources 20.1.1.56 and 20.1.1.57, with the S flag bit not set.
B. IGMP respectively sends two messages: The source carried in one of the messages is
20.1.1.56 with the S flag bit set to 1; the source carried in the other message is 20.1.1.57, with the S flag bit not set.
C. IGMP respectively sends two messages: The source carried in one of the messages is
20.1.1.56 with the S flag bit not set; the source carried in the other message is 20.1.1.57, with the S flag bit set to 1.
D. IGMP sends one message carrying two sources 20.1.1.56 and 20.1.1.57, with the S flag bit set to 1.
Answer: B

NEW QUESTION: 2
A company's application runs on Amazon EC2 instances behind an Application Load Balancer (ALB).
The instances run in an Amazon EC2 Auto Scaling group across multiple Availability Zones.
On the first day of every month at midnight the application becomes much slower when the month-end financial calculation batch executes.
This causes the CPU utilization of the EC2 instances to immediately peak to 100% which disrupts the application.
What should a solutions architect recommend to ensure the application is able to handle the workload and avoid downtime?
A. Configure an Amazon CloudFront distribution in front of the ALB
B. Configure Amazon ElastiCache to remove some of the workload from the EC2 instances
C. Configure an EC2 Auto Scaling scheduled scaling policy based on the monthly schedule.
D. Configure an EC2 Auto Scaling simple scaling policy based on CPU utilization
Answer: C
Explanation:
Scheduled scaling allows you to set your own scaling schedule. In this case the scaling action can be scheduled to occur just prior to the time that the reports will be run each month. Scaling actions are performed automatically as a function of time and date. This will ensure that there are enough EC2 instances to serve the demand and prevent the application from slowing down.
CORRECT: "Configure an EC2 Auto Scaling scheduled scaling policy based on the monthly schedule" is the correct answer.
INCORRECT: "Configure an Amazon CloudFront distribution in front of the ALB" is incorrect as this would be more suitable for providing access to global users by caching content.
INCORRECT: "Configure an EC2 Auto Scaling simple scaling policy based on CPU utilization" is incorrect as this would not prevent the slow-down from occurring as there would be a delay between when the CPU hits 100% and the metric being reported and additional instances being launched.
INCORRECT: "Configure Amazon ElastiCache to remove some of the workload from the EC2 instances" is incorrect as ElastiCache is a database cache, it cannot replace the compute functions of an EC2 instance.
References:
https://docs.aws.amazon.com/autoscaling/ec2/userguide/schedule_time.html

NEW QUESTION: 3
You are building a sales analysis model. In this model there is no requirement for calculation. The user needs to aggregate data across all dimensions and wants to archive many years of data. Archived data will be analyzed once in while.
What types of cube would you build using Essbase for this kind of requirement?
A. Block Storage
B. Virtual Cube
C. Aggregate Storage
D. XOLAP
Answer: C
Explanation:
Explanation: Consider using the aggregate storage storage model if the following is true for your database:
*The database is sparse and has many dimensions, and/or the dimensions have many levels of members.
*The database is used primarily for read-only purposes, with few or no data updates. (C)
*The outline contains no formulas except in the dimension tagged as Accounts.
*Calculation of the database is frequent, is based mainly on summation of the data, and does not rely on calculation scripts.

Certification Tracks

• Amazon AWS Certified Machine Learning
• Amazon Certified Entry Networking Technician