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NEW QUESTION: 1
Examine the parallel parameters for your instance.

All parallel execution servers are available and the session use default parallelism settings. In which two cases will the degree of parallelism be automatically calculated?
A. Statements that are estimated to execute for more than 10 seconds serially
B. Statements accessing tables whom dictionary DOP is 2 or more
C. Statements accessing tables whose dictionary DOP is DEFAULT
D. Statements accessing tables with any setting for Dictionary DOP
E. Statements with parallel hints
Answer: C,E
Explanation:
Note:In earlier versions of the Oracle Database, we had to determine the DOP more or less manually, either with a parallel hint or by setting a parallel degree with alter table. There was an automatic computation of the DOP available for the objects with dictionary DOP of default, derived from the simple formula CPU_COUNT * PARALLEL_THREADS_PER_CPU.

NEW QUESTION: 2





A. Option B
B. Option A
C. Option C
D. Option D
Answer: A

NEW QUESTION: 3
When a biometric system is used, which error type deals with the possibility of GRANTING access to impostors who should be REJECTED?
A. Type I error
B. Type II error
C. Crossover error
D. Type III error
Answer: B
Explanation:
When the biometric system accepts impostors who should have been rejected , it is called a Type II error or False Acceptance Rate or False Accept Rate.
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.
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 (iris, retina, fingerprint) provide more accuracy, because physical attributes typically don't change much, absent some disfiguring injury, and are harder to impersonate.
When a biometric system rejects an authorized individual, it is called a Type I error (False
Rejection Rate (FRR) or False Reject Rate (FRR)).
When the system accepts impostors who should be rejected, it is called a Type II error
(False Acceptance Rate (FAR) or False Accept Rate (FAR)). Type II errors are the most dangerous and thus the most important to avoid.
The goal is to obtain low numbers for each type of error, but When comparing different biometric systems, many different variables are used, but one of the most important metrics is the crossover error rate (CER).
The accuracy of any biometric method is measured in terms of Failed Acceptance Rate
(FAR) and Failed Rejection Rate (FRR). Both are expressed as percentages. The FAR is the rate at which attempts by unauthorized users are incorrectly accepted as valid. The
FRR is just the opposite. It measures the rate at which authorized users are denied access.
The relationship between FRR (Type I) and FAR (Type II) is depicted in the graphic below .
As one rate increases, the other decreases. The Cross-over Error Rate (CER) is sometimes considered a good indicator of the overall accuracy of a biometric system. This is the point at which the FRR and the FAR have the same value. Solutions with a lower
CER are typically more accurate.
See graphic below from Biometria showing this relationship. The Cross-over Error Rate
(CER) is also called the Equal Error Rate (EER), the two are synonymous.
Cross Over Error Rate
The other answers are incorrect:
Type I error is also called as False Rejection Rate where a valid user is rejected by the system.
Type III error : there is no such error type in biometric system.
Crossover error rate stated in percentage , represents the point at which false rejection equals the false acceptance rate.
Reference(s) used for this question:
http://www.biometria.sk/en/principles-of-biometrics.html and Shon Harris, CISSP All In One
(AIO), 6th Edition , Chapter 3, Access Control, Page 188-189 and Tech Republic, Reduce
Multi_Factor Authentication Cost

NEW QUESTION: 4
What is the most effective method to identify early breast cancer lumps?
A. Mammograms every 3 years
B. Ultrasounds every 3 years
C. Monthly breast self-examination
D. Yearly checkups performed by physician
Answer: C
Explanation:
(A) Mammograms are less effective than breast self-examination for the diagnosis of abnormalities in younger women, who have denser breast tissue. They are more effective forwomen older than 40. (B) Up to 15% of early-stage breast cancers are detected by physical examination; however, 95% are detected by women doing breast self-examination. (C) Ultrasound is used primarily to determine the location of cysts and to distinguish cysts from solid masses. (D) Monthly breast self-examination has been shown to be the most effective method for early detection of breast cancer. Approximately 95% of lumps are detected by women themselves.