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IBM Security QRadar SIEM V7.5 Deployment

  • Exam Number/Code : C1000-163
  • Exam Name : IBM Security QRadar SIEM V7.5 Deployment
  • Questions and Answers : 213 Q&As
  • Update Time: 2019-01-10
  • Price: $ 99.00 $ 39.00

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NEW QUESTION: 1
If an IS auditor observes that individual modules of a system perform correctly in development project tests, the auditor should inform management of the positive results and recommend further:
A. Comprehensive integration testing
B. Full regression testing
C. Documentation development
D. Full unit testing
Answer: A
Explanation:
Explanation/Reference:
Explanation:
If an IS auditor observes individual modules of a system perform correctly in development project tests, the auditor should inform management of the positive results and recommend further comprehensive integration testing.

NEW QUESTION: 2
In which three situations can you use a data transform? (Choose Three)
A. To create the dependent property after case creation
B. To copy the first and last name properties into a single property value
C. To execute a flow action
D. To display the destination value as the location value
E. To set default values for a case
Answer: A,B,C

NEW QUESTION: 3
A company allows its developers to attach existing 1AM policies to existing 1AM roles to enable (aster experimentation and agility However the security operations team is concerned that the developers could attach the existing administrator policy, which would allow the developers to circumvent any other security policies How should a solutions architect address this issue?
A. Use service control policies to disable IAM activity across all accounts in the organizational unit
B. Set an IAM permissions boundary on the developer 1AM role that explicitly denies attaching the administrator policy
C. Create an Amazon SNS topic to send an alert every time a developer creates a new policy
D. Prevent the developers from attaching any policies and assign all 1AM duties to the security operations team
Answer: B
Explanation:
https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_boundaries.html Permissions Boundaries for IAM Entities AWS supports permissions boundaries for IAM entities (users or roles). A permissions boundary is an advanced feature for using a managed policy to set the maximum permissions that an identity-based policy can grant to an IAM entity. An entity's permissions boundary allows it to perform only the actions that are allowed by both its identity-based policies and its permissions boundaries.
You can use an AWS managed policy or a customer managed policy to set the boundary for an IAM entity (user or role). That policy limits the maximum permissions for the user or role.
For example, assume that the IAM user named ShirleyRodriguez should be allowed to manage only Amazon S3, Amazon CloudWatch, and Amazon EC2.
https://docs.aws.amazon.com/IAM/latest/UserGuide/access_policies_boundaries.html

NEW QUESTION: 4
An office security agency conducted a successful pilot using 100 cameras installed at key locations within the main office. Images from the cameras were uploaded to Amazon S3 and tagged using Amazon Rekognition, and the results were stored in Amazon ES. The agency is now looking to expand the pilot into a full production system using thousands of video cameras in its office locations globally. The goal is to identify activities performed by non-employees in real time.
Which solution should the agency consider?
A. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection of known employees, and alert when non-employees are detected.
B. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, use Amazon Rekognition Video and create a stream processor to detect faces from a collection on each stream, and alert when nonemployees are detected.
C. Use a proxy server at each local office and for each camera, and stream the RTSP feed to a unique Amazon Kinesis Video Streams video stream. On each stream, use Amazon Rekognition Image to detect faces from a collection of known employees and alert when non-employees are detected.
D. Install AWS DeepLens cameras and use the DeepLens_Kinesis_Video module to stream video to Amazon Kinesis Video Streams for each camera. On each stream, run an AWS Lambda function to capture image fragments and then call Amazon Rekognition Image to detect faces from a collection of known employees, and alert when non-employees are detected.
Answer: D