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NEW QUESTION: 1
What are two uses of SIEM software? (Choose two.)
A. scanning email for suspicious attachments
B. alerting administrators to security events in real time
C. collecting and archiving syslog data
D. performing automatic network audits
E. configuring firewall and IDS devices
Answer: B,C
Explanation:
Explanation/Reference:
Explanation:
SIEM can be used collecting and archiving syslog data and alerting administrators to security events in real
time.
Reference: http://www.cisco.com/c/dam/en/us/solutions/collateral/enterprise/design-zone-smart-business-
architecture/sbaSIEM_deployG.pdf
NEW QUESTION: 2
Which option must be defined to apply a configuration a across a potentially large number of switches in the most scalable way?
A. a configuration policy
B. a group policy
C. an interface policy
D. a switch profile
Answer: D
NEW QUESTION: 3
What is used to group a set of related attributes together in a repository?
A. classifcation schemes
B. input maps
C. output maps
D. attribute groups
Answer: D
NEW QUESTION: 4
You are designing a solution based on the lambda architecture.
The solution has the following layers;
Batch
Speed
Serving
You are planning the data ingestion process and the query execution.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: No
Box 2: No
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.
Box 3: Yes.
We are excited to announce Interactive Queries, a new feature for stream processing with Apache Kafka.
Interactive Queries allows you to get more than just processing from streaming.
Note: Lambda architecture is a popular choice where you see stream data pipelines applied (speed layer).
Architects can combine Apache Kafka or Azure Event Hubs (ingest) with Apache Storm (event processing), Apache HBase (speed layer), Hadoop for storing the master dataset (batch layer), and, finally, Microsoft Power BI for reporting and visualization (serving layer).