- A
It limits the total amount of data to hash to 10 MB
Why wrong: It does not limit total data; it specifies the window size for piecewise hashing.
- B
It creates a hash for every 10 MB block of data
This allows verification of each 10 MB segment independently.
- C
It sets the hash algorithm to SHA-256
Why wrong: The algorithm is specified by `hash=sha256`; hashwindow is about frequency.
- D
It enables error correction for every 10 MB
Why wrong: dcfldd does not provide error correction; it hashes for verification.
CHFI Computer Forensics Fundamentals and Process Practice Question
This CHFI practice question tests your understanding of computer forensics fundamentals and process. Read the scenario carefully and evaluate each option against the stated constraints before committing to an answer. After answering, compare your reasoning against the explanation and wrong-answer breakdown below. Once you have made your selection, read the full explanation to reinforce the concept and understand why each distractor is designed to mislead on exam day.
During a forensic investigation, an analyst creates a forensic image using `dcfldd` with the command: `dcfldd if=/dev/sda of=image.dd hash=sha256 hashwindow=10M`. What is the purpose of the `hashwindow` parameter?
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
It creates a hash for every 10 MB block of data
The `hashwindow` parameter in `dcfldd` specifies the size of the data chunks for which individual hash values are computed. With `hashwindow=10M`, the tool generates a SHA-256 hash for every 10 MB block of the input data, allowing verification of integrity on a per-block basis rather than only a single hash for the entire image. This is useful for detecting corruption or tampering in specific segments of large forensic images.
Key principle: Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It limits the total amount of data to hash to 10 MB
Why it's wrong here
It does not limit total data; it specifies the window size for piecewise hashing.
- ✓
It creates a hash for every 10 MB block of data
Why this is correct
This allows verification of each 10 MB segment independently.
Related concept
Read the scenario before looking for a memorised answer.
- ✗
It sets the hash algorithm to SHA-256
Why it's wrong here
The algorithm is specified by `hash=sha256`; hashwindow is about frequency.
- ✗
It enables error correction for every 10 MB
Why it's wrong here
dcfldd does not provide error correction; it hashes for verification.
Common exam traps
Common exam trap: answer the scenario, not the keyword
EC-Council often tests the distinction between parameters that set the hash algorithm (`hash=`) versus those that control hash granularity (`hashwindow`), leading candidates to confuse `hashwindow` with limiting the total data or enabling error correction.
Detailed technical explanation
How to think about this question
Under the hood, `dcfldd` reads the input in chunks of the specified `hashwindow` size, computes a hash for each chunk, and outputs these hashes to stderr or a log file. This is particularly valuable in forensic imaging of large drives (e.g., 1 TB) where a single hash failure would require re-imaging the entire drive; per-block hashes allow pinpointing and re-acquiring only the corrupted 10 MB segment. The hashwindow value must be a multiple of the underlying block size (typically 512 bytes) to avoid alignment issues.
KKey Concepts to Remember
- Read the scenario before looking for a memorised answer.
- Find the constraint that changes the correct option.
- Eliminate answers that are true in general but not in this case.
TExam Day Tips
- Watch for words such as best, first, most likely and least administrative effort.
- Review why wrong options are wrong, not only why the correct option is correct.
Key takeaway
Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option.
Real-world example
How this comes up in practice
A practitioner preparing for the CHFI exam encounters this exact type of scenario on the job. The correct answer here is not the most general option — it is the best answer for the specific constraint described. Answer the scenario, not the keyword: identify the specific constraint before choosing the most familiar-sounding option. Real exam questions reward reading the full scenario before eliminating options, because the constraint defines which answer fits.
What to study next
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FAQ
Questions learners often ask
What does this CHFI question test?
Computer Forensics Fundamentals and Process — This question tests Computer Forensics Fundamentals and Process — Read the scenario before looking for a memorised answer..
What is the correct answer to this question?
The correct answer is: It creates a hash for every 10 MB block of data — The `hashwindow` parameter in `dcfldd` specifies the size of the data chunks for which individual hash values are computed. With `hashwindow=10M`, the tool generates a SHA-256 hash for every 10 MB block of the input data, allowing verification of integrity on a per-block basis rather than only a single hash for the entire image. This is useful for detecting corruption or tampering in specific segments of large forensic images.
What should I do if I get this CHFI question wrong?
Identify which exam domain this question belongs to, review the core concept, then practise similar questions from the same domain.
What is the key concept behind this question?
Read the scenario before looking for a memorised answer.
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Last reviewed: Jun 30, 2026
This CHFI practice question is part of Courseiva's free EC-Council certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CHFI exam.
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