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NEW QUESTION: 1
You are testing a native application for a smart phone. The application allows the user to make grocery
lists on the phone and store up to three lists at a time. A list can contain up to 50 items.
Which of the following is the minimum set of test conditions to achieve 100% coverage with the boundary
value analysis test technique?
A. List with 0 items, List with 25 items, List with 51 items, 3 lists saved
B. List with 0 items, List with 1 item, List with 50 items, List with 51 items, 0 lists saved, 1 list saved, 3 lists
saved, 4 lists saved
C. List with 0 items, List with 12 item, List with 58 items, 0 lists saved, 1 list saved, 3 lists saved, 7 lists
saved
D. List with 47 items
Answer: B
Explanation:
Explanation/Reference:
Explanation:
B is correct because it is doing BVA on both the list quantity and the list saving capability. D is incorrect
because it has achieved EP coverage, but didn't get the boundaries. A is incorrect because it doesn't
consider the list save capabilities and it doesn't test the invalid values for the list. C is incorrect because it
does not sufficiently test the save feature.

NEW QUESTION: 2
The company's Panorama server (IP 10.10.10.5) is not able to manage a firewall that was recently deployed. The firewall's dedicated management port is being used to connect to the management network.
Which two commands may be used to troubleshoot this issue from the CLI of the new firewall? (Choose two)
A. test panoramas-connect 10.10.10.5
B. show panoramas-status
C. debug dataplane packet-diag set capture on
D. topdump filter "host 10.10.10.5
E. show arp all I match 10.10.10.5
Answer: B,D

NEW QUESTION: 3
An organization is recovering data following a datacenter outage and determines that backup copies of files containing personal information were stored in an unsecure location, because the sensitivity was unknown. Which of the following activities should occur to prevent this in the future?
A. Data classification
B. Business continuity planning
C. Qualitative assessment
D. Quantitative assessment
Answer: A
Explanation:
Information classification is done by confidentiality and comprises of three categories, namely: public use, internal use and restricted use. Knowing how to apply these categories and matching it up with the appropriate data handling will address the situation of the data
'unknown sensitivity'

NEW QUESTION: 4
A company has a High Performance Computing (HPC) cluster in its on-premises data center which runs thousands of jobs in parallel for one week every month, processing petabytes of images. The images are stored on a network file server, which is replicated to a disaster recovery site. The on-premises data center has reached capacity and has started to spread the jobs out over the course of month in order to better utilize the cluster, causing a delay in the job completion.
The company has asked its Solutions Architect to design a cost-effective solution on AWS to scale beyond the current capacity of 5,000 cores and 10 petabytes of data. The solution must require the least amount of management overhead and maintain the current level of durability.
Which solution will meet the company's requirements?
A. Store the raw data in Amazon S3, and use AWS Batch with Managed Compute Environments to create Spot Fleets. Submit jobs to AWS Batch Job Queues to pull down objects from Amazon S3 onto Amazon EBS volumes for temporary storage to be processed, and then write the results back to Amazon S3.
B. Create a container in the Amazon Elastic Container Registry with the executable file for the job. Use Amazon ECS with Spot Fleet in Auto Scaling groups. Store the raw data in Amazon EBS SC1 volumes and write the output to Amazon S3.
C. Create an Amazon EMR cluster with a combination of On Demand and Reserved Instance Task Nodes that will use Spark to pull data from Amazon S3. Use Amazon DynamoDB to maintain a list of jobs that need to be processed by the Amazon EMR cluster.
D. Submit the list of jobs to be processed to an Amazon SQS to queue the jobs that need to be processed. Create a diversified cluster of Amazon EC2 worker instances using Spot Fleet that will automatically scale based on the queue depth. Use Amazon EFS to store all the data sharing it across all instances in the cluster.
Answer: A