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NEW QUESTION: 1
A catalog company has a CTI system that recognizes voice input from customers. What is this system an example of?
A. Voice recognition
B. Both voice and speech recognition
C. Simultaneous voice-data
D. Speech recognition
Answer: B
NEW QUESTION: 2
Which of the following is a hardware based encryption device?
A. TPM
B. EFS
C. SLE
D. TrueCrypt
Answer: A
Explanation:
Trusted Platform Module (TPM) is a hardware-based encryption solution that is embedded in the system's motherboard and is enabled or disable in BIOS. It helps with hash key generation and stores cryptographic keys, passwords, or certificates.
Incorrect Answers:
A. Encrypting File System (EFS) is a software-based encryptions solution that is used to encrypt files or entire volumes in a Windows computer. It is not a hardware-based encryption solution.
B. TrueCrypt is an open source software-based encryption solution.
D. SLE (Single Loss Expectancy) is a risk management concept that measures the potential dollar value loss from a single risk-realization incident. It is not related to cryptography.
References:
Dulaney, Emmett and Chuck Eastton, CompTIA Security+ Study Guide, 6th Edition, Sybex, Indianapolis, 2014, pp. 5-7,
237, 290
NEW QUESTION: 3
Some of your servers do not have IP connectivity to the upstream network. Which two commands do you use to identify whether a data path is up and running on a switch?
(Choose two.)
A. show platform fwm info hw-stm
B. show interface brief
C. show pinning border-interfaces active
D. show mac-address table
E. show npvflogi-table
Answer: B,D
NEW QUESTION: 4
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
A travel agency named Margie's Travel sells airline tickets to customers in the United States.
Margie's Travel wants you to provide insights and predictions on flight delays. The agency is considering implementing a system that will communicate to its customers as the flight departure nears about possible delays due to weather conditions. The flight data contains the following attributes:
The weather data contains the following attributes: AirportID, ReadingDate (YYYY/MM/DD HH), SkyConditionVisibility, WeatherType, WindSpeed, StationPressure, PressureChange, and HourlyPrecip.
You need to use historical data about on-time flight performance and the weather data to predict whether the departure of a scheduled flight will be delayed by more than 30 minutes.
Which method should you use?
A. classification
B. clustering
C. linear regression
D. anomaly detection
Answer: A
Explanation:
References:
https://gallery.cortanaintelligence.com/Experiment/Binary-Classification-Flight-delay- prediction-3