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NEW QUESTION: 1
Deploying a wildcard certificate is one strategy to:
A. Secure the certificate's private key.
B. Reduce the certificate management burden.
C. Extend the renewal date of the certificate.
D. Increase the certificate's encryption key length.
Answer: B
Explanation:
Section: Cryptography
Explanation/Reference:
Explanation:
A wildcard certificate is a public key certificate which can be used with multiple subdomains of a domain.
This saves money and reduces the management burden of managing multiple certificates, one for each
subdomain.
A single Wildcard certificate for *.example.com, will secure all these domains:
payment.example.com
contact.example.com
login-secure.example.com
www.example.com
Because the wildcard only covers one level of subdomains (the asterisk doesn't match full stops), these
domains would not be valid for the certificate:
test.login.example.com

NEW QUESTION: 2
You have been asked to de-risk deployments at your company. Specifically, the CEO is concerned about outages that occur because of accidental inconsistencies between Staging and Production, which sometimes cause unexpected behaviors in Production even when Staging tests pass. You already use Docker to get high consistency between Staging and Production for the application environment on your EC2 instances. How do you further de-risk the rest of the execution environment, since in AWS, there are many service components you may use beyond EC2 virtual machines?
A. Develop models of your entire cloud system in CloudFormation. Use this model in Staging and Production to achieve greater parity. */
B. Use AWS ECS and Docker clustering. This will make sure that the AMIs and machine sizes are the same across both environments.
C. Use AWS Config to force the Staging and Production stacks to have configuration parity. Any differences will be detected for you so you are aware of risks.
D. Use AMIs to ensure the whole machine, including the kernel of the virual machines, is consistent, since Docker uses Linux Container (LXC) technology, and we need to make sure the container environment is consistent.
Answer: A
Explanation:
Explanation
After you have your stacks and resources set up, you can reuse your templates to replicate your infrastructure in multiple environments. For example, you can create environments for development, testing, and production so that you can test changes before implementing them into production. To make templates reusable, use the parameters, mappings, and conditions sections so that you can customize your stacks when you create them. For example, for your development environments, you can specify a lower-cost instance type compared to your production environment, but all other configurations and settings remain the same For more information on Cloudformation best practices please refer to the below link:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html

NEW QUESTION: 3
Which three are SQL Performance Analyzer capabilities that enable forecasting impact of system changes on a SQL workload?
A. providing tuning recommendations for each SQL statement that is regressed
B. generating a list of SQL Hints that the Optimizer will use to improve overall performance
C. measuring performance before and after the change
D. measuring a change in user session logins
E. identifying the SQL statements that regressed or improved
F. measuring performance and comparing to industry benchmarks (TPC-C, TPC-D)
Answer: C,E,F

NEW QUESTION: 4
Which option to the yum command will update the entire system? (Specify ONLY the option name without any additional parameters.)
Answer:
Explanation:
update, upgrade