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NEW QUESTION: 1
A signature analysis has been run on a case. The result "JPEG" in the signature column means:
A. None of the above.
B. The file signature is unknown and the file extension is JPEG.
C. The file signature is a JPEG signature and the file extension is incorrect.
D. The file signature is unknown and the header is a JPEG.
Answer: C

NEW QUESTION: 2
Bill has successfully executed a buffer overflow against a Windows IIS web server. He has been able to spawn an interactive shell and plans to deface the main web page. He first attempts to use the "echo" command to simply overwrite index.html and remains unsuccessful. He then attempts to delete the page and achieves no progress. Finally, he tries to overwrite it with another page in which also he remains unsuccessful. What is the probable cause of Bill's problem?
A. You cannot use a buffer overflow to deface a web page
B. The system is a honeypot
C. The HTML file has permissions of read only
D. There is a problem with the shell and he needs to run the attack again
Answer: C

NEW QUESTION: 3
A company is building a stock trading application that requires sub-millisecond latency in processing trading requests. Amazon DynamoDB is used to store all the trading data that is used to process each request. After load testing the application, the development team found that due to data retrieval times, the latency requirement is not satisfied. Because of sudden high spikes in the number of requests, DynamoDB read
capacity has to be significantly over-provisioned to avoid throttling.
What steps should be taken to meet latency requirements and reduce the cost of running the application?
A. Use DynamoDB Accelerator to cache trading data.
B. Add Global Secondary Indexes for trading data.
C. Store trading data in Amazon S3 and use Transfer Acceleration.
D. Add retries with exponential back-off for DynamoDB queries
Answer: A
Explanation:
Refer AWS documentation - DynamoDB Accelerator
Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement - from milliseconds to microseconds - even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring developers to manage cache invalidation, data population, or cluster management. Now you can focus on building great applications for your customers without worrying about performance at scale.