
AWS Cloud Practitioner Q5
Quiz
•
Computers, Professional Development
•
Professional Development
•
Practice Problem
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Medium
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65 questions
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1.
MULTIPLE CHOICE QUESTION
1 min • 5 pts
#1 Which AWS service can be used to prepare and load data for analytics using an extract, transform and load (ETL) process?
AWS Lambda
AWS Glue
Amazon EMR
Amazon Athena
Answer explanation
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy for customers to prepare and load their data for analytics. You can point AWS Glue to data stored on AWS, and AWS Glue discovers the data and stores the associated metadata (e.g. table definition and schema) in the AWS Glue Data Catalog. Once cataloged, the data is immediately searchable, queryable, and available for ETL
2.
MULTIPLE CHOICE QUESTION
1 min • 5 pts
#2 Which AWS service can be used to send automated notifications to HTTP endpoints?
Amazon SQS
Amazon SWF
Amazon SNS
Amazon SES
Answer explanation
Amazon Simple Notification Service (Amazon SNS) is a web service that makes it easy to set up, operate, and send notifications from the cloud. SNS can be used to send automated or manual notifications to email, mobile (SMS), SQS, and HTTP endpoints.
3.
MULTIPLE SELECT QUESTION
1 min • 5 pts
#3 Which of the following constitute the five pillars for the AWS Well-Architected Framework? (Select TWO.)
Operational excellence, security, and reliability
Operational excellence, elasticity and scalability
Cost prioritization, and cost optimization
Data consistency, and cost optimization
. Performance efficiency, and cost optimization
Answer explanation
The five pillars of the AWS Well-Architected Framework are operational excellence, security, reliability, performance efficiency, and cost optimization
4.
MULTIPLE SELECT QUESTION
1 min • 5 pts
#4 Assuming you have configured them correctly, which AWS services can scale automatically without intervention? (Select TWO.)
Amazon RDS
Amazon EC2
Amazon S3
Amazon DynamoDB
Amazon EBS
Answer explanation
Both S3 and DynamoDB automatically scale as demand dictates. In the case of DynamoDB you can either configure the ondemand or provisioned capacity mode. With on-demand capacity mode DynamoDB automatically adjusts the read and write throughput for you. EBS and RDS do not scale automatically. You must intervene to adjust volume sizes and database instance types to scale these resources
5.
MULTIPLE SELECT QUESTION
1 min • 5 pts
#5 Which AWS components aid in the construction of fault-tolerant applications? (Select TWO.)
Elastic IP addresses
ARNs
AMIs
Tags
Block device mappings
Answer explanation
Elastic IP addresses can be easily remapped between EC2 instances in the event of a failure. Amazon Machine Images (AMIs) can be used to quickly launch replacement instances when there is a failure Amazon Resource Names (ARNs), tags and block device mappings don’t really help with fault tolerance
6.
MULTIPLE CHOICE QUESTION
1 min • 5 pts
#6 A company wants to utilize a pay as you go cloud model for all of their applications without CAPEX costs and which is highly elastic. Which cloud delivery model will suit them best?
Public
Private
Hybrid
On-premise
Answer explanation
The public cloud is offered under a purely pay as you go model (unless you choose to reserve), and allows companies to completely avoid CAPEX costs. The public cloud is also highly elastic so companies can grow and shrink the applications as demand changes. Private and on-premise clouds are essentially the same, though both could be managed by a third party and even could be delivered under an OPEX model by some vendors. However, they are typically more CAPEX heavy and the elasticity is limited. A hybrid model combines public and private and this company wants to go all in on a single model.
7.
MULTIPLE SELECT QUESTION
1 min • 5 pts
#7 Which of the following are advantages of using the AWS cloud computing over legacy IT? (Select TWO.)
You are able to pass responsibility for the availability of your application to AWS
You don't need to worry about over provisioning as you can elastically scale
You don't need to patch your operating systems
You can bring new applications to market faster
You can bring services closer to your end users
Answer explanation
With cloud computing you no longer need to guess about capacity as you can elastically scale. This means you don’t end up overprovisioning but instead react to the load on your servers. You can also be faster and more agile with development and release of applications.
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