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NEW QUESTION 54
A company needs to retain application logs files for a critical application for 10 years. The application team regularly accesses logs from the past month for troubleshooting, but logs older than 1 month are rarely accessed. The application generates more than 10 TB of logs per month.
Which storage option meets these requirements MOST cost-effectively?
1 month old to S3 Glacier Deep ArchiveB. Store the logs in Amazon S3 Use S3 Lifecycle policies to move logs more than 1 month old to S3 Glacier Deep ArchiveC. Store the logs in Amazon CloudWatch Logs Use AWS Backup to move logs more then 1 month old to S3 Glacier Deep ArchiveD. Store the Iogs in Amazon S3 Use AWS Backup lo move logs more than 1 month old to S3 Glacier Deep Archive
Answer: B
Explanation:
Explanation
You need S3 to be able to archive the logs after one month. Cannot do that with CloudWatch Logs.
NEW QUESTION 55
An online medical system hosted in AWS stores sensitive Personally Identifiable Information (PII) of the users in an Amazon S3 bucket. Both the master keys and the unencrypted data should never be sent to AWS to comply with the strict compliance and regulatory requirements of the company.
Which S3 encryption technique should the Architect use?
Answer: B
Explanation:
Client-side encryption is the act of encrypting data before sending it to Amazon S3. To enable client-side encryption, you have the following options:
- Use an AWS KMS-managed customer master key.
- Use a client-side master key.
When using an AWS KMS-managed customer master key to enable client-side data encryption, you provide an AWS KMS customer master key ID (CMK ID) to AWS. On the other hand, when you use client-side master key for client-side data encryption, your client-side master keys and your unencrypted data are never sent to AWS. It's important that you safely manage your encryption keys because if you lose them, you can't decrypt your data.
This is how client-side encryption using client-side master key works:
When uploading an object - You provide a client-side master key to the Amazon S3 encryption client. The client uses the master key only to encrypt the data encryption key that it generates randomly. The process works like this:
1. The Amazon S3 encryption client generates a one-time-use symmetric key (also known as a data encryption key or data key) locally. It uses the data key to encrypt the data of a single Amazon S3 object.
The client generates a separate data key for each object.
2. The client encrypts the data encryption key using the master key that you provide. The client uploads the encrypted data key and its material description as part of the object metadata. The client uses the material description to determine which client-side master key to use for decryption.
3. The client uploads the encrypted data to Amazon S3 and saves the encrypted data key as object metadata (x-amz-meta-x-amz-key) in Amazon S3.
When downloading an object - The client downloads the encrypted object from Amazon S3. Using the material description from the object's metadata, the client determines which master key to use to decrypt the data key. The client uses that master key to decrypt the data key and then uses the data key to decrypt the object.
Hence, the correct answer is to use S3 client-side encryption with a client-side master key.
Using S3 client-side encryption with a KMS-managed customer master key is incorrect because in client- side encryption with a KMS-managed customer master key, you provide an AWS KMS customer master key ID (CMK ID) to AWS. The scenario clearly indicates that both the master keys and the unencrypted data should never be sent to AWS.
Using S3 server-side encryption with a KMS managed key is incorrect because the scenario mentioned that the unencrypted data should never be sent to AWS, which means that you have to use client-side encryption in order to encrypt the data first before sending to AWS. In this way, you can ensure that there is no unencrypted data being uploaded to AWS. In addition, the master key used by Server-Side Encryption with AWS KMS-Managed Keys (SSE-KMS) is uploaded and managed by AWS, which directly violates the requirement of not uploading the master key.
Using S3 server-side encryption with customer provided key is incorrect because just as mentioned above, you have to use client-side encryption in this scenario instead of server-side encryption. For the S3 server-side encryption with customer-provided key (SSE-C), you actually provide the encryption key as part of your request to upload the object to S3. Using this key, Amazon S3 manages both the encryption (as it writes to disks) and decryption (when you access your objects). References:
https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingEncryption.html
https://docs.aws.amazon.com/AmazonS3/latest/dev/UsingClientSideEncryption.html
NEW QUESTION 56
A multinational corporate and investment bank is regularly processing steady workloads of accruals, loan interests, and other critical financial calculations every night from 10 PM to 3 AM on their on- premises data center for their corporate clients. Once the process is done, the results are then uploaded to the Oracle General Ledger which means that the processing should not be delayed or interrupted. The CTO has decided to move its IT infrastructure to AWS to save costs. The company needs to reserve compute capacity in a specific Availability Zone to properly run their workloads.
As the Senior Solutions Architect, how can you implement a cost-effective architecture in AWS for their financial system?
Answer: C
Explanation:
On-Demand Capacity Reservations enable you to reserve compute capacity for your Amazon EC2 instances in a specific Availability Zone for any duration. This gives you the ability to create and manage Capacity Reservations independently from the billing discounts offered by Savings Plans or Regional Reserved Instances.
By creating Capacity Reservations, you ensure that you always have access to EC2 capacity when you need it, for as long as you need it. You can create Capacity Reservations at any time, without entering into a one-year or three-year term commitment, and the capacity is available immediately. Billing starts as soon as the capacity is provisioned and the Capacity Reservation enters the active state. When you no longer need it, cancel the Capacity Reservation to stop incurring charges.
When you create a Capacity Reservation, you specify:
- The Availability Zone in which to reserve the capacity
- The number of instances for which to reserve capacity
- The instance attributes, including the instance type, tenancy, and platform/OS Capacity Reservations can only be used by instances that match their attributes. By default, they are automatically used by running instances that match the attributes. If you don't have any running instances that match the attributes of the Capacity Reservation, it remains unused until you launch an instance with matching attributes.
In addition, you can use Savings Plans and Regional Reserved Instances with your Capacity Reservations to benefit from billing discounts. AWS automatically applies your discount when the attributes of a Capacity Reservation match the attributes of a Savings Plan or Regional Reserved Instance.
Hence, the correct answer is to use On-Demand Capacity Reservations, which provide compute capacity that is always available on the specified recurring schedule.
Using On-Demand EC2 instances which allows you to pay for the instances that you launch and use by the second. Reserve compute capacity in a specific Availability Zone to avoid any interruption is incorrect because although an On-Demand instance is stable and suitable for processing critical data, it costs more than any other option. Moreover, the critical financial calculations are only done every night from 10 PM to 3 AM only and not 24/7. This means that your compute capacity will not be utilized for a total of 19 hours every single day. On-Demand instances cannot reserve compute capacity at all. So this option is incorrect.
Using Regional Reserved Instances to reserve capacity on a specific Availability Zone and lower down the operating cost through its billing discounts is incorrect because this feature is available in Zonal Reserved Instances only and not on Regional Reserved Instances.
Using Dedicated Hosts which provide a physical host that is fully dedicated to running your instances, and bringing your existing per-socket, per-core, or per-VM software licenses to reduce costs is incorrect because the use of a fully dedicated physical host is not warranted in this scenario. Moreover, this will be underutilized since you only run the process for 5 hours (from 10 PM to 3 AM only), wasting 19 hours of compute capacity every single day.
References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-capacity-reservations.html
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/instance-purchasing-options.html Check out this Amazon EC2 Cheat Sheet:
https://tutorialsdojo.com/amazon-elastic-compute-cloud-amazon-ec2/
NEW QUESTION 57
A company is deploying a new public web application to AWS. The application will run behind an Application Load Balancer (ALB). The application needs to be encrypted at the edge with an SSL/TLS certificate that is issued by an external certificate authority (CA). The certificate must be rotated each year before the certificate expires.
What should a solutions architect do to meet these requirements?
Answer: C
NEW QUESTION 58
A company plans to migrate a MySQL database from an on-premises data center to the AWS Cloud.
This database will be used by a legacy batch application that has steady-state workloads in the morning but has its peak load at night for the end-of-day processing. You need to choose an EBS volume that can handle a maximum of 450 GB of data and can also be used as the system boot volume for your EC2 instance.
Which of the following is the most cost-effective storage type to use in this scenario?
Answer: B
Explanation:
In this scenario, a legacy batch application which has steady-state workloads requires a relational MySQL database. The EBS volume that you should use has to handle a maximum of 450 GB of data and can also be used as the system boot volume for your EC2 instance. Since HDD volumes cannot be used as a bootable volume, we can narrow down our options by selecting SSD volumes. In addition, SSD volumes are more suitable for transactional database workloads, as shown in the table below:
General Purpose SSD (gp2) volumes offer cost-effective storage that is ideal for a broad range of workloads. These volumes deliver single-digit millisecond latencies and the ability to burst to 3,000 IOPS for extended periods of time. AWS designs gp2 volumes to deliver the provisioned performance 99% of the time. A gp2 volume can range in size from 1 GiB to 16 TiB.
Amazon EBS Provisioned IOPS SSD (io1) is incorrect because this is not the most cost-effective EBS type and is primarily used for critical business applications that require sustained IOPS performance.
Amazon EBS Throughput Optimized HDD (st1) is incorrect because this is primarily used for frequently accessed, throughput-intensive workloads. Although it is a low-cost HDD volume, it cannot be used as a system boot volume.
Amazon EBS Cold HDD (sc1) is incorrect. Although Amazon EBS Cold HDD provides lower cost HDD volume compared to General Purpose SSD, it cannot be used as a system boot volume.
Reference:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/EBSVolumeTypes.html#EBSVolumeTypes_gp
2
Amazon EBS Overview - SSD vs HDD:
https://www.youtube.com/watch?v=LW7x8wyLFvw
Check out this Amazon EBS Cheat Sheet:
https://tutorialsdojo.com/amazon-ebs/
NEW QUESTION 59
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