PRMIA Exam 8002 Topic 1 Question 86 Discussion

Actual exam question for PRMIA's 8002 exam

Question #: 86
Topic #: 1

[All 8002 Questions]

What is the probability of tossing a coin and getting exactly 2 heads out of 5 throws?

A8/15

B9/23

C10/32

DNone of these

Show Suggested Answer

Suggested Answer: A

by Joseph at Aug 03, 2024, 09:07 PM

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Erasmo

9 months ago

I remember learning that the gradient is indeed a vector, so I agree with A)

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Jolene

9 months ago

I'm not sure, but I think it might be D) a matrix containing the function's second partial derivatives

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Cecily

9 months ago

I think it's A too, because the gradient points in the direction of steepest ascent

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Thaddeus

9 months ago

A) a vector that shows the direction of fastest change of a function

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Lilli

9 months ago

I believe it's A as well, because the gradient gives the direction of maximum increase

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Malcolm

9 months ago

I'm not sure, but I think it's B) matrix of second partial derivatives of a function

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Becky

9 months ago

I think it's A too, because the gradient points in the direction of steepest ascent

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Beula

9 months ago

Gradient? More like 'rad'-ient, am I right? *crickets*

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Vivienne

9 months ago

B) matrix of second partial derivatives of a function

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Brice

9 months ago

A) a vector that shows the direction of fastest change of a function

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Gaynell

9 months ago

Wait, is the gradient a matrix or a vector? This is starting to sound like a trick question. I'm going with A just to be safe.

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Louvenia

9 months ago

C is interesting, but I'm not sure the gradient is infinite at a maximum point. I'll have to think about that one.

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Rupert

9 months ago

I thought the gradient was the matrix of second partial derivatives? Option D sounds right to me.

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Charlette

8 months ago

Oh, I see. Thanks for clarifying!

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Alida

8 months ago

Yes, it's a common misconception. The gradient is a vector, not a matrix.

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Georgene

8 months ago

Oh, I see. I thought it was a matrix of second partial derivatives too.

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Reed

8 months ago

No, the gradient is actually a vector that shows the direction of fastest change of a function.

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Mireya

9 months ago

Option D sounds right to me.

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Horace

9 months ago

No, the gradient is actually a vector that shows the direction of fastest change of a function.

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Ryan

9 months ago

Option D sounds right to me.

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Rasheeda

10 months ago

A) a vector that shows the direction of fastest change of a function

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Alva

10 months ago

The gradient is definitely a vector that shows the direction of fastest change. A is the way to go here.

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Ryan

9 months ago

Yes, the gradient is a vector that indicates the direction of greatest increase. A is the correct choice.

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Cassandra

9 months ago

The gradient is crucial for determining the direction of steepest ascent. A is the right answer.

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Candra

10 months ago

I agree, the gradient points in the direction of fastest change. A is correct.

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