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NEW QUESTION: 1
A rollout plan from engineering has been sent to the NOC for deployment. Part of the plan involves a complex software upgrade to a network element. The method of procedure provided by engineering is nearly 100 individual steps long. Where do you expect to find backout procedures to be specified?
A. after every 20 (+/- 5) steps
B. after each step that causes a change to the network
C. after the midway point
D. after the method of procedure is completed
E. both after the midway point and after the method of procedure is completed
Answer: D

NEW QUESTION: 2
Which of the following measures can effectively minimize the possibility of buffer overflows?
A. Sufficient memory
B. Sufficient bounds checking
C. Sufficient code injection
D. Sufficient processing capability
E. None of the choices.
Answer: B
Explanation:
Buffer overflows may cause a process to crash or produce incorrect results. They can be triggered
by inputs specifically designed to execute malicious code or to make the program operate in an
unintended way. As such,
buffer overflows cause many software vulnerabilities and form the basis of many exploits.
Sufficient bounds checking by either the programmer or the compiler can prevent buffer overflows.

NEW QUESTION: 3

A. Trojan Downloader
B. Phishing URL
C. Antivirus Monitoring
D. Outbreak Filters
E. Adware
F. Web Reputation
Answer: A,B,E

NEW QUESTION: 4
A new algorithm has been written in Python to identify SPAM e-mails. The algorithm analyzes the free text contained within a sample set of 1 million e-mails stored on Amazon S3. The algorithm must be scaled across a production of 5 PB, which also resides in Amazon S3 storage Which AWS service strategy is best for this use case?
A. Use Amazon EMR to parallelize the text analysis tasks across the cluster using a streaming program step
B. Initiate a python job from AWS Data pipeline to run directly against the Amazon S3 text files
C. Copy the data into Amazon ElasticCache to perform text analysis on the in-memory data and export the results of the model into Amazon machine learning
D. Use Amazon Elasticsearch service to store the text and then use the Python Elastic search client to run analysis against the text index
Answer: D