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NEW QUESTION: 1
When configuring class-based WRED on Cisco routers, which WRED parameter is not user configurable on a Cisco IOS XR but is user configurable on a Cisco IOS and IOS XE?
A. the minimum threshold
B. the ingress or egress direction where the class-based WRED policy will be applied
C. the maximum threshold
D. the mark probability denominator
Answer: D
Explanation:
Comparison of Cisco IOS QoS and Cisco IOS-XR QoS
The Cisco IOS-XR software implementation of QoS is basically the same as the QoS implementation on Cisco IOS software, with the following exceptions:
*On Cisco IOS-XR software, the bandwidth command can be configured only in egress policies.
*The following changes have been made to the class-map command on Cisco IOS-XR software:
-Supports 4K per logical router.
-Maximum number of match criteria configurable in one class map is eight.
*When a class is marked as high priority using the priority command on Cisco IOS-XR software, we recommend that you configure a policer to limit the priority traffic. Limiting the priority traffic will ensure that the priority traffic does not starve all of the other traffic on the line card. Use the police command to explicitly configure the policer.
*On Cisco IO-XR software, only one conform-action, exceed-action, or violate-action command can be configured at a time. To configure traffic policing, use the police command.
*On Cisco IOS-XR software, policy modifications cannot be made on existing policies. Use the policy-map command to remove the policy from all attached interfaces, delete the policy map, and redefine a new policy.
*When configuring a policy map on Cisco IOS-XR software, the maximum number of classes configurable in one policy map is 16, which includes both Level 1 and Level 2 classes. To configure a policy map, use the policy-map command.
*When WRED is configured on Cisco IOS-XR software, the mark probability in the random- detect command is not configurable-it is always set to 1.
*When the random-detect exp command is used on Cisco IOS-XR software, the exponential weighting constant is not configurable and will be programmed automatically by Cisco IOS-XR software.
*When access control lists (ACLs) are used in QoS class maps, the underlying deny or permit actions associated with access control entries (ACEs) are ignored. ACEs are used as a classification mechanism in order to provide appropriate QoS behavior as specified in class maps. Use ACLs that include ACEs with permit actions only.

NEW QUESTION: 2
Which of the following biometrics methods provides the HIGHEST accuracy and is LEAST accepted by users?
A. Palm Scan
B. Hand Geometry
C. Fingerprint
D. Retina scan
Answer: D
Explanation:
Retina based biometric involves analyzing the layer of blood vessels situated at the back of the eye.
An established technology, this technique involves using a low-intensity light source through an optical coupler to scan the unique patterns of the retina. Retinal scanning can be quite accurate but does require the user to look into a receptacle and focus on a given point. This is not particularly convenient if you wear glasses or are concerned about having close contact with the reading device. For these reasons, retinal scanning is not warmly accepted by all users, even though the technology itself can work well.
For your exam you should know the information below: Biometrics Biometrics verifies an individual's identity by analyzing a unique personal attribute or behavior, which is one of the most effective and accurate methods of verifying identification and not well received by society. Biometrics is a very sophisticated technology; thus, it is much more expensive and complex than the other types of identity verification processes. A biometric system can make authentication decisions based on an individual's behavior, as in signature dynamics, but these can change over time and possibly be forged. Biometric systems that base authentication decisions on physical attributes (such as iris, retina, or fingerprint) provide more accuracy because physical attributes typically don't change, absent some disfiguring injury, and are harder to impersonate
Biometrics is typically broken up into two different categories. The first is the physiological. These are traits that are physical attributes unique to a specific individual. Fingerprints are a common example of a physiological trait used in biometric systems. The second category of biometrics is known as behavioral. The behavioral authentication is also known as continuous authentication.
The behavioral/continuous authentication prevents session hijacking attack. This is based on a characteristic of an individual to confirm his identity. An example is signature Dynamics. Physiological is "what you are" and behavioral is "what you do."
When a biometric system rejects an authorized individual, it is called a Type I error (false rejection rate). When the system accepts impostors who should be rejected, it is called a Type II error (false acceptance rate). The goal is to obtain low numbers for each type of error, but Type II errors are the most dangerous and thus the most important to avoid. When comparing different biometric systems, many different variables are used, but one of the most important metrics is the crossover error rate (CER). This rating is stated as a percentage and represents the point at which the false rejection rate equals the false acceptance rate. This rating is the most important measurement when determining the system's accuracy. A biometric system that delivers a CER of 3 will be more accurate than a system that delivers a CER of 4. Crossover error rate (CER) is also called equal error rate (EER).
Throughput describes the process of authenticating to a biometric system. This is also referred to as the biometric system response time. The primary consideration that should be put into the purchasing and implementation of biometric access control are user acceptance, accuracy and processing speed.
Biometric Considerations In addition to the access control elements of a biometric system, there are several other considerations that are important to the integrity of the control environment. These are: Resistance to counterfeiting Data storage requirements User acceptance Reliability and Target User and approach
Fingerprint Fingerprints are made up of ridge endings and bifurcations exhibited by friction ridges and other detailed characteristics called minutiae. It is the distinctiveness of these minutiae that gives each individual a unique fingerprint. An individual places his finger on a device that reads the details of the fingerprint and compares this to a reference file. If the two match, the individual's identity has been verified.
Palm Scan The palm holds a wealth of information and has many aspects that are used to identify an individual. The palm has creases, ridges, and grooves throughout that are unique to a specific person. The palm scan also includes the fingerprints of each finger. An individual places his hand on the biometric device, which scans and captures this information. This information is compared to a reference file, and the identity is either verified or rejected.
Hand Geometry The shape of a person's hand (the shape, length, and width of the hand and fingers) defines hand geometry. This trait differs significantly between people and is used in some biometric systems to verify identity. A person places her hand on a device that has grooves for each finger. The system compares the geometry of each finger, and the hand as a whole, to the information in a reference file to verify that person's identity.
Retina Scan A system that reads a person's retina scans the blood-vessel pattern of the retina on the backside of the eyeball. This pattern has shown to be extremely unique between different people. A camera is used to project a beam inside the eye and capture the pattern and compare it to a reference file recorded previously.
Iris Scan An iris scan is a passive biometric control The iris is the colored portion of the eye that surrounds the pupil. The iris has unique patterns, rifts, colors, rings, coronas, and furrows. The uniqueness of each of these characteristics within the iris is captured by a camera and compared with the information gathered during the enrollment phase. When using an iris pattern biometric system, the optical unit must be positioned so the sun does not shine into the aperture; thus, when implemented, it must have proper placement within the facility.
Signature Dynamics When a person signs a signature, usually they do so in the same manner and speed each time. Signing a signature produces electrical signals that can be captured by a biometric system. The physical motions performed when someone is signing a document create these electrical signals. The signals provide unique characteristics that can be used to distinguish one individual from another. Signature dynamics provides more information than a static signature, so there are more variables to verify when confirming an individual's identity and more assurance that this person is who he claims to be.
Keystroke Dynamics Whereas signature dynamics is a method that captures the electrical signals when a person signs a name, keystroke dynamics captures electrical signals when a person types a certain phrase. As a person types a specified phrase, the biometric system captures the speed and motions of this action. Each individual has a certain style and speed, which translate into unique signals. This type of authentication is more effective than typing in a password, because a password is easily obtainable. It is much harder to repeat a person's typing style than it is to acquire a password.
Voice Print
People's speech sounds and patterns have many subtle distinguishing differences. A biometric
system that is programmed to capture a voice print and compare it to the information held in a
reference file can differentiate one individual from another. During the enrollment process, an
individual is asked to say several different words.
Facial Scan
A system that scans a person's face takes many attributes and characteristics into account.
People have different bone structures, nose ridges, eye widths, forehead sizes, and chin shapes.
These are all captured during a facial scan and compared to an earlier captured scan held within a
reference record. If the information is a match, the person is positively identified.
Hand Topography
Whereas hand geometry looks at the size and width of an individual's hand and fingers, hand
topology looks at the different peaks and valleys of the hand, along with its overall shape and
curvature. When an individual wants to be authenticated, she places her hand on the system. Off
to one side of the system, a camera snaps a side-view picture of the hand from a different view
and angle than that of systems that target hand geometry, and thus captures different data. This
attribute is not unique enough to authenticate individuals by itself and is commonly used in
conjunction with hand geometry.
Vascular Scan
Valcular Scan uses the blood vessel under the first layer of skin.
The following answers are incorrect:
Fingerprint - Fingerprints are made up of ridge endings and bifurcations exhibited by friction ridges
and other detailed characteristics called minutiae. It is the distinctiveness of these minutiae that
gives each individual a unique fingerprint. An individual places his finger on a device that reads the
details of the fingerprint and compares this to a reference file. If the two match, the individual's
identity has been verified.
Hand Geometry - The shape of a person's hand (the shape, length, and width of the hand and
fingers) defines hand geometry. This trait differs significantly between people and is used in some
biometric systems to verify identity. A person places her hand on a device that has grooves for
each finger. The system compares the geometry of each finger, and the hand as a whole, to the
information in a reference file to verify that person's identity.
Palm Scan - The palm holds a wealth of information and has many aspects that are used to
identify an individual. The palm has creases, ridges, and grooves throughout that are unique to a
specific person. The palm scan also includes the fingerprints of each finger. An individual places
his hand on the biometric device, which scans and captures this information. This information is
compared to a reference file, and the identity is either verified or rejected.
Following reference(s) were/was used to create this question: CISA review manual 2014 Page number 330 and 331 Official ISC2 guide to CISSP CBK 3rd Edition Page number 924

NEW QUESTION: 3
DRAG DROP
Historical flight information data will be stored in Windows Azure Table Storage using the FlightInfo class as the table entity. There are millions of entries in the table. Queries for historical flight information specify a set of airlines to search and whether the query should return only late flights. Results should be ordered by flight name. You need to specify which properties of the FlightInfo class should be used at the partition and row keys to ensure that query results are returned as quickly as possible. What should you do? (To answer, drag the appropriate properties to the correct location or locations in the answer area. Each property may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.)
Select and Place:

Answer:
Explanation:

NEW QUESTION: 4
Your environment has a large number of network devices that are configured to use AAA for authentication.
Additionally, your security policy requires use of Two-Factor Authentication or Multi-Factor Authentication for all device administrators, which you have integrated with ACS. To simplify device management, your organization has purchased Prime Infrastructure. What is the best way to get Prime Infrastructure to authenticate to at your network of devices?
A. Create a user on ISE with a complex password for Prime Infrastructure, along with an authorization policy that uses the ISE local identity store for that user.
B. Enable Multi-Factor authentication on Prime Infrastructure
C. Configure a local user on each of the network device along with priority to user the local username and password for Prime Infrastructure
D. Create a user on ISE with a complex password for Prime Infrastructure, along with an authentication policy that uses the ISE local identity store for that user.
E. Enable the AAA API on the network devices, generate an API token, and configure Prime Infrastructure to use that toke when authenticating to the network device
Answer: D