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NEW QUESTION: 1
For which of the following activities is a static analysis tool NOT useful?
A. Detecting dependencies in software modules
B. Quantitative analysis related to the tests (e.g. tests passed)
C. Calculation of complexity of the code
D. Enforcement of coding standards
Answer: B
Explanation:
Explanation/Reference:
Reference: http://tryqa.com/what-is-static-analysis-tools-in-software-testing/

NEW QUESTION: 2
A small university department uses Unix-based workstations with local password files for security and access. They now want to expand and use the VNX for additional storage.
Which mechanism should be used to provide authentication to NFS exports presented from the VNX?
A. Authentication daemon
B. AUTH_SYS
C. Kerberos
D. LDAP
Answer: B

NEW QUESTION: 3
You are configuring a VTI in a clustered environment. Which of the following must be TRUE?
A. You do not need to have cluster IP addresses.
B. Every interface on each member requires a unique IP address.
C. You cannot set up a VTI in a clustered environment.
D. Each member must have the same source IP address.
Answer: B

NEW QUESTION: 4
You are doing a load testing exercise on your application hosted on AWS. While testing your Amazon RDS MySQL DB instance, you notice that when you hit 100% CPU utilization on it, your application becomes non- responsive. Your application is read-heavy. What are methods to scale your data tier to meet the application's needs? Choose three answers from the options given below
A. Use ElastiCache in front of your Amazon RDS DB to cache common queries.
B. Add your Amazon RDS DB instance to an Auto Scalinggroup and configure your Cloud Watch metric based on CPU utilization.
C. Enable Multi-AZ for your Amazon RDS DB instance.
D. Use an Amazon SQS queue to throttle data going to the Amazon RDS DB instance.
E. Shard your data set among multiple Amazon RDS DB instances.
F. Add Amazon RDS DB read replicas, and have your application direct read queries to them.
Answer: A,E,F
Explanation:
Explanation
Amazon RDS Read Replicas provide enhanced performance and durability for database (DB) instances. This replication feature makes it easy to elastically scale out beyond the capacity constraints of a single DB Instance for read-heavy database workloads. You can create one or more replicas of a given source DB Instance and serve high-volume application read traffic from multiple copies of your data, thereby increasing aggregate read throughput For more information on Read Replica's please refer to the below link:
https://aws.amazon.com/rds/details/read-replicas/
Sharding is a common concept to split data across multiple tables in a database For more information on sharding please refer to the below link:
* https://forums.awsa mazon.com/thread jspa?messagelD=203052
Amazon OastiCache is a web service that makes it easy to deploy, operate, and scale an in-memory data store or cache in the cloud. The service improves the performance of web applications by allowing you to retrieve information from fast, managed, in-memory data stores, instead of relying entirely on slower disk-based databases Amazon OastiCache is an in-memory key/value store that sits between ycbetappiicipiJGra arcdalie data store (database) that it accesses. Whenever your application requests data, it first makes the request to the DastiCache cache. If the data exists in the cache and is current, OastiCache returns the data to your application. If the data does not exist in the cache, or the data in the cache has expired, your application requests the data from your data store which returns the data to your application. Your application then writes the data received from the store to the cache so it can be more quickly retrieved next time it is requested. For more information on Elastic Cache please refer to the below link:
* https://aws.amazon.com/elasticache/
Option B is not an ideal way to scale a database
Option C is not ideal to store the data which would go into a database because of the message size Option F is invalid because Multi-AZ feature is only a failover option