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IBM P1000-017 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: QRadar SIEM Foundations | 30% | - QRadar Features
|
| Topic 2: Understand QRadar Data Sources | 25% | - Flow Data
|
| Topic 3: QRadar on Cloud (QRoC) | 45% | - QRoC Overview
|
IBM Technical Sales Foundations for IBM QRadar for Cloud (QRoC) V1 Sample Questions:
Question 1
Which approach should be used to develop and optimize custom rules
A. Start with broad categories that narrow the data that a rule tests evaluates
B. Use as many tests possible
C. Start with payload and regex test
D. Avoid using index properties,
Question 2
What is a qflow
A. An external flow type that can provide high level and low-level categories from the parsed event data
B. An external flow type that can automatically extract numerous fields from unencrypted event payload data
C. An internal flow type that can capture vulnerability assessment information from unencrypted payload data.
D. An internal flow type that can capture a portion of unencrypted payload data and can recognize layer 7 applications
Question 3
Which on-premise deployment model is supported by QRadar on Cloud
A. Utilizing a direct syslog connection to the cloud, to collect on premise data
B. Utilizing a data gateway to collect on Premise Data
C. Utilizing an App node to collect on Premise Data
D. Utilizing QRadar Risk Manager to collect on Premise firewall data
Question 4
In the scenario where Qradar on cloud client wishes to integrate an AWS hosted data source
A. Deploying a Data Gateway in event hub is required for data sources
B. Deploying a data gateway or utilizing a TLS Connection directly from QRadar - CloudWatch and CloudTrail
C. Deploying a dedicated Qradar instance is required in AWS
D. Deploying data gateway in AWS is required to collect data from the environmentc.
Solutions:
| Question 1 Answer: A | Question 2 Answer: D | Question 3 Answer: B | Question 4 Answer: B |
