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  • Exam Name: IBM QRadar SIEM V7.3.2 Deployment
  • Last Update: 15-Aug-2022
  • Questions and Answers: 60
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C1000-055 Questions and Answers

Question # 1

A deployment professional is challenged with incomplete report results. The report is being created but it not displaying all data.

What would be the first thing the deployment professional would do to determine whether or not the report is incomplete?

A.

Run a search again from the network activity tab.

B.

Review notification messages for incomplete report data.

C.

Run a search again from the log activity tab.

D.

Run the report manually.

Question # 2

A client uses the IBM Security QRadar Vulnerability Manager to discover vulnerabilities on the network devices, applications, and software. They run the QRadar Vulnerability Manager from an All-in-one system, where the scanning and processing functions are on the Console. As the client's QRadar deployment is growing, they are also considering deploying scanners.

What is a valid client motivation for deploying additional scanners?

A.

To scan an asset in the same geographic region as the QRadar Vulnerability Manager processor.

B.

To patch assets for their vulnerabilities.

C.

To avoid scanning through a firewall that is a log source.

D.

To find more vulnerabilities on a given system.

Question # 3

A customer is building a big data solution which aims to perform long term analysis of security data. Security events that are processed by QRadar are also relevant for the system and according to the QRadar administrator the most straightforward option for data ingestion is to configure event forwarding on QRadar. The customer would like to make use of QRadar's parsing capability and its built-in parsers instead of developing new parsers for the big data platform. A deployment professional is asked for advice about the data format to configure for the event forwarding.

Which available option should the deployment professional propose?

A.

Normalized

B.

Payload

C.

XML

D.

JSON

Question # 4

A deployment professional is creating an architecture for a customer who has locations which regularly go out of contact with the rest of the network. The requirement is to receive logs locally and then have a scheduled connection to QRadar to upload the events.

Which QRadar appliances should be deployed in these locations?

A.

Disconnected Log Collector with UDP configured

B.

15xx Event Collector with a Store and Forward schedule

C.

16xx Event Processor with a Store and Forward schedule

D.

31 xx All-in-One with Online Forwarding configured

Question # 5

During an initial deployment, three retention buckets (longret, midret. testret) were configured with the following characteristics, being (X) the number of the bucket:

longret (1): keep data in this bucket for 2 years. Delete when storage is needed.

midret (2): keep data in this bucket for 6 months. Delete when storage is needed.

testret (3): keep data in this bucket for 3 days. Delete immediately after expiration.

Default (0) retention bucket has a 3 months / delete immediately policy.

During testing last week, a significant amount of test data has been mistakenly categorized as "longret". This bucket does not contain any other important information. Everything else, including some important data, has been saved into the default bucket.

How can the deployment professional remove all data stored in the "longret" bucket?

A.

Manually delete old data from last week by issuing a rm * on /store/ariel/events/payloads/ and /store/ariel/events/records/ and select the directories containing events from the last week

B.

Change the longret bucket period to 10 days and deploy the changes.

C.

Change the system's time to 2 years in the future and wait until deletion has been made and then go back to the real system's time.

D.

Manually delete the files ending by -1 from /store/ariel/events/payloads/ and /store/ariel/events/records/

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