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NEW QUESTION: 1

A. Option A
B. Option D
C. Option F
D. Option B
E. Option E
F. Option C
Answer: E
Explanation:
Explanation
Use-After-Free vulnerabilities are a type of memory corruption flaw that can beleveraged by hackers to execute arbitrary code.
Use After Free specifically refers to the attempt to access memory after it has been freed, which can cause a program to crash or, in the case of a Use-After-Free flaw, can potentially result in the executionof arbitrary code or even enable full remote code execution capabilities.
According to the Use After Free definition on the Common Weakness Enumeration (CWE) website, a Use After Free scenario can occur when "the memory in question is allocated to anotherpointer validly at some point after it has been freed. The original pointer to the freed memory is used again and points to somewhere within the new allocation. As the data is changed, it corrupts the validly used memory; this induces undefined behavior in the process."

NEW QUESTION: 2
A company has an application that uses Amazon CloudFront for content that is hosted on an Amazon S3 bucket. After an unexpected refresh, the users are still seeing old content.
Which step should the Solutions Architect take to ensure that new content is displayed?
A. Perform an invalidation on the CloudFront distribution that is serving the content.
B. Perform a cache refresh on the CloudFront distribution that is serving the content.
C. Change the TTL value for removing the old objects
D. Create a new cache behavior path with the updated content.
Answer: A
Explanation:
Explanation
https://aws.amazon.com/premiumsupport/knowledge-center/cloudfront-serving-outdated-content-s3/

NEW QUESTION: 3
A 3-Ber e-commerce web application is currently deployed on-premises, and will be migrated to AWS for greater scalability and elasticity. The web tier currently shares read-only data using a network distributed file system. The app server tier uses a clustering mechanism for discovery and shared session state that depends on IP multicast. The database tier uses shared-storage clustering to provide database failover capability, and uses several read slaves for scaling. Data on all servers and the distributed file system directory is backed up weekly to off-site tapes.
Which AWS storage and database architecture meets the requirements of the application?
A. Web servers: store read-only data in an EC2 NFS server, mount to each web server at boot time. App servers: share state using a combination of DynamoDB and IP multicast.Database: use RDS with multi- AZ deployment and one or more Read Replicas. Backup: web and app servers backed up weekly via AMIs, database backed up via DB snapshots.
B. Web servers: store read-only data in S3, and copy from S3 to root volume at boot time. App servers:share state using a combination of DynamoDB and IP unicast.Database: use RDS with multi-AZ deployment and one or more Read Replicas. Backup: web and app servers backed up weekly via AMIs, database backed up via DB snapshots.
C. Web servers: store read-only data in S3, and copy from S3 to root volume at boot timeApp servers:share state using a combination of DynamoDB and IP unicast. Database: use RDS with multi-AZ deployment.Backup: web and app servers backed up weekly via AMIs, database backed up via DB snapshots.
D. Web servers: store read-only data in S3, and copy from S3 to root volume at boot time. App servers:
share state using a combination of DynamoDB and IP unicast.Database: use RDS with multi-AZ deployment and one or more read replicas.Backup: web servers, app servers, and database backed up weekly to Glacier using snapshots.
Answer: D
Explanation:
Explanation
https://d0.awsstatic.com/whitepapers/Storage/AWS%20Storage%20Services%20Whitepaper-v9.pdf Amazon Glacier doesn't suit all storage situations. Listed following are a few storage needs for which you should consider other AWS storage options instead of Amazon Glacier.
Data that must be updated very frequently might be better served by a storage solution with lower read/write latencies, such as Amazon EBS, Amazon RDS, Amazon DynamoDB, or relational databases running on EC2.