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NEW QUESTION 40
A data analytics company has been building its new generation big data and analytics platform on their AWS cloud infrastructure. They need a storage service that provides the scale and performance that their big data applications require such as high throughput to compute nodes coupled with read- after-write consistency and low-latency file operations. In addition, their data needs to be stored redundantly across multiple AZs and allows concurrent connections from multiple EC2 instances hosted on multiple AZs.
Which of the following AWS storage services will you use to meet this requirement?
Answer: C
Explanation:
In this question, you should take note of the two keywords/phrases: "file operation" and "allows concurrent connections from multiple EC2 instances". There are various AWS storage options that you can choose but whenever these criteria show up, always consider using EFS instead of using EBS Volumes which is mainly used as a "block" storage and can only have one connection to one EC2 instance at a time. Amazon EFS provides the scale and performance required for big data applications that require high throughput to compute nodes coupled with read-after-write consistency and low-latency file operations.
Amazon EFS is a fully-managed service that makes it easy to set up and scale file storage in the Amazon Cloud. With a few clicks in the AWS Management Console, you can create file systems that are accessible to Amazon EC2 instances via a file system interface (using standard operating system file I/O APIs) and supports full file system access semantics (such as strong consistency and file locking).
Amazon EFS file systems can automatically scale from gigabytes to petabytes of data without needing to provision storage. Tens, hundreds, or even thousands of Amazon EC2 instances can access an Amazon EFS file system at the same time, and Amazon EFS provides consistent performance to each Amazon EC2 instance. Amazon EFS is designed to be highly durable and highly available.
EBS is incorrect because it does not allow concurrent connections from multiple EC2 instances hosted on multiple AZs and it does not store data redundantly across multiple AZs by default, unlike EFS.
S3 is incorrect because although it can handle concurrent connections from multiple EC2 instances, it does not have the ability to provide low-latency file operations, which is required in this scenario. Glacier is incorrect because this is an archiving storage solution and is not applicable in this scenario.
References:
https://docs.aws.amazon.com/efs/latest/ug/performance.html https://aws.amazon.com/efs/faq/ Check out this Amazon EFS Cheat Sheet:
https://tutorialsdojo.com/amazon-efs/
Check out this Amazon S3 vs EBS vs EFS Cheat Sheet: https://tutorialsdojo.com/amazon-s3-vs-ebs-vs- efs/ Here's a short video tutorial on Amazon EFS:
https://youtu.be/AvgAozsfCrY
NEW QUESTION 41
A company generates large financial datasets with millions of rows. The Solutions Architect needs to store all the data in a columnar fashion to reduce the number of disk I/O requests and reduce the amount of data needed to load from the disk. The bank has an existing third-party business intelligence application that will connect to the storage service and then generate daily and monthly financial reports for its clients around the globe.
In this scenario, which is the best storage service to use to meet the requirement?
Answer: D
Explanation:
Amazon Redshift is a fast, scalable data warehouse that makes it simple and cost-effective to analyze all your data across your data warehouse and data lake. Redshift delivers ten times faster performance than other data warehouses by using machine learning, massively parallel query execution, and columnar storage on high-performance disk.
In this scenario, there is a requirement to have a storage service that will be used by a business intelligence application and where the data must be stored in a columnar fashion. Business Intelligence reporting systems are a type of Online Analytical Processing (OLAP) which Redshift is known to support.
In addition, Redshift also provides columnar storage, unlike the other options. Hence, the correct answer in this scenario is Amazon Redshift.
References:
https://docs.aws.amazon.com/redshift/latest/dg/c_columnar_storage_disk_mem_mgmnt.html
https://aws.amazon.com/redshift/
Amazon Redshift Overview:
https://youtu.be/jlLERNzhHOg
Check out this Amazon Redshift Cheat Sheet:
https://tutorialsdojo.com/amazon-redshift/
Here is a case study on finding the most suitable analytical tool - Kinesis vs EMR vs Athena vs Redshift:
https://youtu.be/wEOm6aiN4ww
NEW QUESTION 42
A company is using AWS IAM to manage access to AWS services. The Solutions Architect of the company created the following IAM policy for AWS Lambda: {
"Version": "2012-10-17",
"Statement": [
{
"Effect": "Allow",
"Action": [
"lambda:CreateFunction",
"lambda:DeleteFunction"
],
"Resource": "*"
},
{
"Effect": "Deny",
"Action": [
"lambda:CreateFunction",
"lambda:DeleteFunction",
"lambda:InvokeFunction",
"lambda:TagResource"
],
"Resource": "*",
"Condition": {
"IpAddress": {
"aws:SourceIp": "187.5.104.11/32"
}
}
}
]
}
Which of the following options are allowed by this policy?
Answer: D
Explanation:
You manage access in AWS by creating policies and attaching them to IAM identities (users, groups of users, or roles) or AWS resources. A policy is an object in AWS that, when associated with an identity or resource, defines their permissions. AWS evaluates these policies when an IAM principal (user or role) makes a request. Permissions in the policies determine whether the request is allowed or denied. Most policies are stored in AWS as JSON documents.
You can use AWS Identity and Access Management (IAM) to manage access to the Lambda API and resources like functions and layers. Based on the given IAM policy, you can create and delete a Lambda function from any network address except for the IP address 187.5.104.11/32. Since the IP address, 100.220.0.11/32 is not denied in the policy, you can use this address to create a Lambda function.
Hence, the correct answer is: Create an AWS Lambda function using the 100.220.0.11/32 address.
The option that says: Delete an AWS Lambda function using the 187.5.104.11/32 address is incorrect because the source IP used in this option is denied by the IAM policy.
The option that says: Delete an AWS Lambda function from any network address is incorrect. You can't delete a Lambda function from any network address because the address 187.5.104.11/32 is denied by the policy.
The option that says: Create an AWS Lambda function using the 187.5.104.11/32 address is incorrect.
Just like the option above, the IAM policy denied the IP address 187.5.104.11/32.
References:
https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies.html
https://docs.aws.amazon.com/lambda/latest/dg/lambda-permissions.html
Check out this AWS IAM Cheat Sheet: https://tutorialsdojo.com/aws-identity-and-access-management-iam/
NEW QUESTION 43
A tech startup has recently received a Series A round of funding to continue building their mobile forex trading application. You are hired to set up their cloud architecture in AWS and to implement a highly available, fault tolerant system. For their database, they are using DynamoDB and for authentication, they have chosen to use Cognito. Since the mobile application contains confidential financial transactions, there is a requirement to add a second authentication method that doesn't rely solely on user name and password.
How can you implement this in AWS?
Answer: D
Explanation:
You can add multi-factor authentication (MFA) to a user pool to protect the identity of your users. MFA adds a second authentication method that doesn't rely solely on user name and password. You can choose to use SMS text messages, or time-based one-time (TOTP) passwords as second factors in signing in your users. You can also use adaptive authentication with its risk-based model to predict when you might need another authentication factor. It's part of the user pool advanced security features, which also include protections against compromised credentials.
Reference:
https://docs.aws.amazon.com/cognito/latest/developerguide/managing-security.html
NEW QUESTION 44
A company deployed several EC2 instances in a private subnet. The Solutions Architect needs to ensure the security of all EC2 instances. Upon checking the existing Inbound Rules of the Network ACL, she saw this configuration:
If a computer with an IP address of 110.238.109.37 sends a request to the VPC, what will happen?
Answer: A
Explanation:
Rules are evaluated starting with the lowest numbered rule. As soon as a rule matches traffic, it's applied immediately regardless of any higher-numbered rule that may contradict it.
We have 3 rules here:
1. Rule 100 permits all traffic from any source.
2. Rule 101 denies all traffic coming from 110.238.109.37
3. The Default Rule (*) denies all traffic from any source.
The Rule 100 will first be evaluated. If there is a match then it will allow the request. Otherwise, it will then go to Rule 101 to repeat the same process until it goes to the default rule. In this case, when there is a request from 110.238.109.37, it will go through Rule 100 first. As Rule 100 says it will permit all traffic from any source, it will allow this request and will not further evaluate Rule 101 (which denies 110.238.109.37) nor the default rule.
Explanation:
Reference:
http://docs.aws.amazon.com/AmazonVPC/latest/UserGuide/VPC_ACLs.html
Check out this Amazon VPC Cheat Sheet:
https://tutorialsdojo.com/amazon-vpc/
NEW QUESTION 45
......
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