Question 1 of 30
In a data center environment, a company is implementing a machine learning model to predict server failures based on historical performance data. The model uses a dataset containing various features such as CPU usage, memory consumption, and disk I/O rates. After training the model, the team evaluates its performance using a confusion matrix, which shows that the model has a precision of 0.85 and a recall of 0.75. If the total number of actual server failures in the test set is 100, how many true positives (TP) can be inferred from this information?
63
75
85
100

Preparing for CISCO 350-601 Implementing and Operating Cisco Data Center Core Technologies (DCCOR)? Now land the interview.

73% of qualified candidates get rejected because of weak resumes. Build an ATS-optimized, recruiter-ready resume in under 5 minutes - free to start.

Build My Resume Free