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CIS 105 CORE MAIN EXAMINATION QUESTIONS AND ANSWERS SURE A.pdf

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CIS 105 CORE MAIN EXAMINATION QUESTIONS AND
ANSWERS SURE A+
✔✔SQL Injection - ✔✔An attacker issues a SQL command to a web server as part of
the URL or as input to a form on a company's website; web server might pass the
command onto the database which then allows potentially anything to be done to the
database

✔✔Social Engineering - ✔✔hackers use their social skills to trick people into revealing
access credentials or other valuable information

✔✔Public Key Encryption - ✔✔A method of paired key encryption in which the key used
to encrypt data is made available to anybody and its corresponding decryption key is
kept secret.

✔✔blended threat - ✔✔is a security threat that combines the characteristics of computer
viruses, worms, and other malicious codes with vulnerabilities found on public and
private networks.

✔✔Keylogger - ✔✔using spyware to record a user's keystrokes

✔✔botnets or zombie networks - ✔✔Hordes of surreptitiously infiltrated computers,
linked and controlled remotely. This technique is used to perpetrate click fraud, as well
as a variety of other computer security crimes.

✔✔Phishing - ✔✔the fraudulent practice of sending emails purporting to be from
reputable companies in order to induce individuals to reveal personal information, such
as passwords and credit card numbers.

✔✔data mining - ✔✔the application of statistical techniques to find patterns and
relationships among data for classification and prediction

✔✔data - ✔✔raw material

✔✔knowledge - ✔✔experience based and humanistic

✔✔three orientations of data - ✔✔Descriptive, Predictive, Perscriptive

✔✔A competent business analytics team should possess three critical skills -
✔✔information technology, statistics, and business knowledge.

✔✔For data mining to work, two critical conditions need to be present: - ✔✔the
organization must have clean, consistent data, and (2) the events in that data should
reflect current and future trends.

, ✔✔Financial modeling - ✔✔building trading systems that adapt to historical trends or
risk models to identify customers with the highest likelihood to default on a credit

✔✔customer churn - ✔✔determining which customers are likely to leave, and what
tactics can help the firm avoid unwanted defections

✔✔collaborative filtering - ✔✔A classification of software that monitors trends among
customers and uses this data to personalize an individual customer's experience.

✔✔market basket analysis - ✔✔analyzes such items as websites and checkout scanner
information to detect customers' buying behavior and predict future behavior by
identifying affinities among customers' choices of products and services

✔✔customer segmentation - ✔✔grouping customers based on similar needs

✔✔data governance - ✔✔refers to the overall management of the availability, usability,
integrity, and security of company data

✔✔Data hosting - ✔✔Where will the systems be housed? What are the hardware and
networking requirements for the effort?

✔✔Data Quality - ✔✔A comprehensive approach to ensuring the accuracy, validity, and
timeliness of data.

✔✔Data relevancy - ✔✔data are useful (quality characteristic)

✔✔Transactional Data - ✔✔data collected to record the individual transactions of a
company or organization

✔✔legacy system - ✔✔a current or existing system that will become the base for
upgrading or integrating with a new system. outdated

✔✔data aggregation - ✔✔process in which information is gathered and expressed in a
summary form for purposes such as statistical analysis

✔✔Enterprise Software - ✔✔source for customer, supply chain and enterprise data.

✔✔relational database - ✔✔the most common database format

✔✔enriching fraud - ✔✔meant to line the pockets of the perpetrators

✔✔depleting fraud - ✔✔meant to waste the ad budgets of rivals

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