The chief information officer (cio) has been asked to develop a security dashboard with the relevant metrics. the board of directors will use the dashboard to monitor and track the overall security posture of the organization the cio produces a basic report containing both kpi and kri data in two separate sections for the board to review. which of the following best meets the needs of the board? a) kri: compliance with regulations . backlog of unresolved security investigations . severity of threats and vulnerabilities reported by sensors time to patch critical issues on a monthly basis api time to resolve open security items . % of suppliers with approved security control frameworks edr coverage across the fleet threat landscape rating b) kri: edr coverage across the fleet backlog of unresolved security investigations time to patch critical issues on a monthly basis threat landscape rating kpi time to resolve open security items compliance with regulations . % of suppliers with approved security control frameworks severity of threats and vulnerabilities reported by sensors

Your task this week is to write a very simple spam classifier in python. it will classify messages as either spam (unwanted) or ham (wanted). the program will have a set of spam_words, words that are known to appear in spam messages. that set is included in the template file spam.pypreview the document. you will also define a spam threshold which reflects the allowed percentage of spam words in the message. you'll compute a 'spam indicator', which is the ratio of spam words to the total number of unique words in the message. if the spam indicator exceeds the spam threshold, the message is classified as spam. otherwise it is classified as ham. we'll assume that the spam threshold is a constant and has a value of 0.10. your program will prompt the user for a message and then will print the corresponding spam indicator with two decimal digits and the corresponding classification (spam or ham). the program will be case insensitive. the spam words are detected whether they are in lower case or upper case or mixed case. each word, spam or not, is counted once (even if it appears multiple times in the message.) the program will remove punctuation from the message before identifying the words and computing the spam indicator. for example '! ' must be identified as the spam word 'now'.

When creating a budget, log fixed expenses before income. after income. after savings. at the top.

In he example code, what does the title attribute create? a tool tip an element a source a markup