CNN - Convolutional Neural Networks Practice Test

CNN - Convolutional Neural Networks Practice Test

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CNN Practice Test

Updated for November 2026
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The Certified Nephrology Nurse (CNN) examination is the premier credential for nurses specializing in kidney care. It validates advanced knowledge in hemodialysis, peritoneal dialysis, transplant, and chronic kidney disease management. Earning this certification demonstrates your expertise and commitment to the nephrology nursing field.

This comprehensive guide provides everything you need to prepare, including free practice questions, a score calculator, salary insights, and detailed study resources. Whether you are working in an outpatient clinic or an acute care hospital, passing the CNN exam is a pivotal step in your nursing career.

The CNN has 150 questions, takes about 3 hours and costs $350[1][2] (Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini, verified Oct 25, 2026).

  • The Certified Nephrology Nurse (CNN) exam consists of 150 questions.[1]
  • The CNN exam must be completed in three hours.[1]
  • Candidates must receive a standard score of 95 to pass the CNN examination.[1]
  • The CNN exam application fee is $350 for non-members and $300 for ANNA, NOVA, ASN or NKF members.[2]
  • A CNN candidate who does not pass has one opportunity within one year to retake the exam at a reduced rate.[2]
  • The CNN credential is valid for three years from the last day of the month in which the certificant passed the exam.[2]
  • CNN candidates taking the computer-based test receive their score immediately upon completion.[2]

Numbers in brackets link to the official sources listed under Sources & last verified. Dates that have passed are removed automatically.

CNN Exam at a Glance

ItemDetailSource · Verified
Number of questions150 questions[1]Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini · Oct 25, 2026
Time limit3 hours[1]Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini · Oct 25, 2026
Passing scoreStandard score of 95[1]Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini · Oct 25, 2026
Exam fee$350 ($300 for ANNA/NOVA/ASN/NKF members)[2]Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini · Oct 25, 2026
Retake policyOne reduced-rate retake within one year[2]Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini · Oct 25, 2026
Validity3 years[2]Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini · Oct 25, 2026
Score releaseImmediately after the computer-based exam[2]Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini · Oct 25, 2026
Testing window90-day window from permit issue[2]Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini · Oct 25, 2026

What changed for CNN in 2026

Note: To sit for the CNN exam, you must have at least 3,000 hours of experience in nephrology nursing within the last three years and hold a current, unrestricted RN license.

CNN Exam Study Guide

Use this interactive guide to understand the key components of the Certified Nephrology Nurse exam, from registration to scoring.

💡 CNN Basics

What is CNN certification?
The Certified Nephrology Nurse (CNN) credential validates a nurse's comprehensive knowledge in nephrology, including dialysis, transplant, and CKD care.
Who accredits the exam?
It is accredited by the Nephrology Nursing Certification Commission (NNCC).
Why get certified?
Certification can lead to career advancement, higher pay, and recognition as an expert in nephrology nursing.
Is it mandatory?
While not legally required to practice as a nurse, many employers require it for advanced roles or magnet status hospitals.

📋 Format

How many questions?
The exam consists of 175 questions, of which 150 are scored and 25 are pretest (unscored).
What is the time limit?
Candidates have 3 hours to complete the examination.
What is the format?
The questions are multiple-choice, covering various domains of nephrology nursing practice.
Is it computer-based?
Yes, the exam is administered via computer at designated testing centers or via live remote proctoring.

📝 Registration

Experience Requirement
You must have at least 2 years of experience as an RN and 3,000 hours in nephrology nursing within the last 3 years.
Education Requirement
A minimum of a Bachelor's degree in Nursing (BSN) or higher is required for the CNN credential (unlike the CDN).
CE Requirement
You must complete 30 contact hours of continuing education in nephrology nursing within the last 3 years.
How to apply?
Applications are submitted online through the NNCC website with the required documentation and fees.

✅ Scoring

What is a passing score?
The passing score is determined by a criterion-referenced method, but generally equates to answering about 70-75% correctly.
When do I get results?
Preliminary results are often available immediately after computer-based testing, with official confirmation following.
Can I retake it?
Yes, if you fail, you can retake the exam, typically after a waiting period and paying a re-examination fee.
Is there a limit?
There is no specific limit on attempts, but you must meet eligibility each time.

💰 Salary

Average Salary
Certified Nephrology Nurses typically earn between $75,000 and $100,000+ annually depending on location and role.
Does certification help?
Yes, certified nurses often receive a differential or higher base pay compared to non-certified peers.
Job Outlook
The demand for nephrology nurses is high due to the increasing prevalence of CKD and ESRD.
Advanced Roles
CNNs often move into management, education, or case management roles within dialysis clinics or hospitals.

Many dialysis organizations (like DaVita or Fresenius) and hospitals offer reimbursement for certification exams. Check with your HR department before paying out of pocket. Practice with the free CNN - Convolutional Neural Networks practice test on PracticeTestGeeks (7 questions with answer explanations).

Free CNN - Convolutional Neural Networks Study Tools

Interactive CNN - Convolutional Neural Networks resources on PracticeTestGeeks, free to start:

According to Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini, “The CNN exam consists of 150 questions and must be completed in three (3) hours.”[1]

CNN Practice Test Questions

Prepare for the CNN - Convolutional Neural Networks exam with our free practice test modules. Each quiz covers key topics to help you pass on your first try.

CNN Architecture Fundamentals
CNN Exam Questions covering Architecture Fundamentals. Master CNN Test concepts for certification prep.
CNN Batch Normalization and Dropout
Free CNN Practice Test featuring Batch Normalization and Dropout. Improve your CNN Exam score with mock test prep.
CNN Classic CNN Architectures
CNN Mock Exam on Classic CNN Architectures. CNN Study Guide questions to pass on your first try.
CNN - Convolutional Neural Networks Data A...
CNN Test Prep for CNN - Convolutional Neural Networks Data Augmentation Techniques Questions and Answers. Practice CNN Quiz questions and boost your score.
CNN - Convolutional Neural Networks Semant...
CNN Questions and Answers on CNN - Convolutional Neural Networks Semantic Segmentation Questions and Answers. Free CNN practice for exam readiness.
CNN Convolutional Layer Operations
CNN Mock Test covering Convolutional Layer Operations. Online CNN Test practice with instant feedback.
CNN - Convolutional Neural Networks Classi...
Free CNN Quiz on - Convolutional Neural Networks Classic CNN Architectures. CNN Exam prep questions with detailed explanations.
CNN - Convolutional Neural Networks CNN Ar...
CNN Practice Questions for - Convolutional Neural Networks CNN Architecture Fundamentals. Build confidence for your CNN certification exam.
CNN - Convolutional Neural Networks Convol...
CNN Test Online for - Convolutional Neural Networks Convolutional Layer Operations. Free practice with instant results and feedback.
CNN - Convolutional Neural Networks Object...
CNN Study Material on - Convolutional Neural Networks Object Detection Models. Prepare effectively with real exam-style questions.
CNN - Convolutional Neural Networks Overfi...
Free CNN Test covering - Convolutional Neural Networks Overfitting and Regularization. Practice and track your CNN exam readiness.
CNN - Convolutional Neural Networks Poolin...
CNN Exam Questions covering - Convolutional Neural Networks Pooling and Activation Functions. Master CNN Test concepts for certification prep.
CNN - Convolutional Neural Networks Traini...
Free CNN Practice Test featuring - Convolutional Neural Networks Training and Optimization. Improve your CNN Exam score with mock test prep.
CNN - Convolutional Neural Networks Transf...
CNN Mock Exam on - Convolutional Neural Networks Transfer Learning with CNNs. CNN Study Guide questions to pass on your first try.
CNN - Convolutional Neural Networks Visual...
CNN Test Prep for - Convolutional Neural Networks Visualizing CNN Feature Maps. Practice CNN Quiz questions and boost your score.
CNN Object Detection Models
CNN Questions and Answers on Object Detection Models. Free CNN practice for exam readiness.
CNN Overfitting and Regularization
CNN Mock Test covering Overfitting and Regularization. Online CNN Test practice with instant feedback.
CNN Pooling and Activation Functions
Free CNN Quiz on Pooling and Activation Functions. CNN Exam prep questions with detailed explanations.
CNN Training and Optimization
CNN Practice Questions for Training and Optimization. Build confidence for your CNN certification exam.
CNN Transfer Learning with CNNs
CNN Test Online for Transfer Learning with CNNs. Free practice with instant results and feedback.
CNN Visualizing CNN Feature Maps
CNN Study Material on Visualizing CNN Feature Maps. Prepare effectively with real exam-style questions.
CNN Certified Nephrology Nurse MCQ
Free CNN Test covering Certified Nephrology Nurse MCQ. Practice and track your CNN exam readiness.
CNN Certified Nephrology Nurse
CNN Exam Questions covering Certified Nephrology Nurse. Master CNN Test concepts for certification prep.
CNN Certified Nephrology Nurse Trivia
Free CNN Practice Test featuring Certified Nephrology Nurse Trivia. Improve your CNN Exam score with mock test prep.

Worked examples: how to reason through CNN questions

These are practice questions written for this site, not questions from the real exam. Each explanation shows why the right answer is right and why the others are wrong.

Example 1

Question: What is the primary motivation for 'freezing' the early convolutional layers of a pre-trained CNN when applying transfer learning to a new task?

  1. To significantly increase the training speed by reducing the number of backpropagation calculations.
  2. To preserve the generic, low-level feature detectors (e.g., edges, colors, textures) that the model learned from the original large-scale dataset.
  3. To force the model to learn new low-level features that are highly specific to the new, smaller dataset.
  4. To ensure that the optimizer can apply a uniform learning rate across all layers of the network.

Answer: B. To preserve the generic, low-level feature detectors (e.g., edges, colors, textures) that the model learned from the original large-scale dataset.

Explanation:

The correct answer is the option about preserving generic, low-level feature detectors. Early layers learn edges, colors and textures that are useful for almost any image task, so keeping their weights fixed protects that knowledge when the new dataset is small.

The speed option is wrong as a primary motivation: skipping some weight updates saves a little work, but that is a side effect, not the reason. The option about forcing new low-level features is backwards, because freezing prevents those layers from changing. The uniform learning rate option is wrong because freezing does not exist to simplify the optimizer; layers can be given different rates whether or not they are frozen.

Rule to remember: freeze the general, early layers and retrain the later, task-specific ones.

Example 2

Question: In VGGNet, what architectural choice was a key design principle?

  1. Using a single large 11×11 kernel in the first layer
  2. Stacking many small 3×3 convolutional filters instead of large kernels
  3. Applying global average pooling before the classifier
  4. Introducing residual skip connections between layers

Answer: B. Stacking many small 3×3 convolutional filters instead of large kernels

Explanation:

The correct answer is stacking many small 3×3 convolutional filters instead of large kernels. VGGNet showed that depth built from small filters works well. Stacked small filters cover the same receptive field as one larger filter while using fewer parameters and adding more non-linearity.

The single large 11×11 kernel option describes an older style of first layer, which VGGNet moved away from. Global average pooling before the classifier is a later design choice found in other networks, not the defining idea of VGGNet. Residual skip connections belong to ResNet, a different architecture.

Rule to remember: match each architecture to its signature idea. VGG is small filters stacked deep, and ResNet is skip connections.

Example 3

Question: Which operation sums element-wise products between a filter and a receptive field in a CNN?

  1. Cross-correlation
  2. Matrix multiplication
  3. Dot product of flattened tensors
  4. Convolution without flipping

Answer: A. Cross-correlation

Explanation:

The correct answer is cross-correlation. In a CNN layer, the filter slides over the input, and at each position the element-wise products with the receptive field are summed. The filter is not flipped, which is what separates this operation from true mathematical convolution. Deep learning libraries still call it convolution.

Matrix multiplication is wrong because it combines rows and columns of whole matrices, not a sliding local window. Dot product of flattened tensors describes the arithmetic at one position but not the sliding operation the question asks about. Convolution without flipping is a loose way of describing the same thing, but the precise name for it is cross-correlation, so it is not the best answer.

Rule to remember: sum of products with no flip is cross-correlation.

How to use these practice tests

Start with the official NNCC exam page and application, and read what the credential covers and how testing works. Our sets are written by us with AI tools and are not real exam questions, so use them to find weak spots, not to predict the test.

If you are preparing for the nursing credential, work through the Certified Nephrology Nurse sets first: the standard set, the MCQ set and the trivia set. Take one in a single sitting under the 3 hour limit that applies to the real exam, so you get used to the pace of 150 questions. Afterwards, read the explanation for every miss and for every guess you got right.

Keep a short list of the topics you missed and go back to the official material to study them, then retest on a different set. Do not simply repeat a set until you recognise the answers.

If you came here for convolutional neural networks, the sets on architectures, layers, pooling, training, regularization, transfer learning and object detection are separate from the nursing exam. Work through them by topic and check each missed idea against a textbook or course notes.

In the last days before your sitting, check that your permit is still active and that you know your testing arrangements.

CNN Career Opportunities

Explore the diverse roles available to Certified Nephrology Nurses.

CNN Test Day Checklist

Valid Government ID
Exam Permit/Confirmation
RN License Number
Arrive 30 Mins Early
Leave Electronics in Car
Light Jacket (Testing centers get cold)
Water/Snack (for locker)
Positive Mindset!

Ready to Become a CNN?

Join thousands of successful nephrology nurses who advanced their careers with our free practice resources.

Keep track of your CE certificates as you earn them. The NNCC audits a percentage of renewals, so having your documentation ready prevents stress later.

CNN: Pros and Cons

Pros

  • CNN exam preparation strengthens your knowledge across all domains
  • Passing the exam proves competency to employers and clients
  • Study materials and practice tests are widely available
  • Exam-based credentials are portable across states and employers
  • Clear exam objectives help focus your study plan effectively

Cons

  • Exam anxiety can affect performance — practice tests help reduce it
  • Registration fees are non-refundable if you miss your test date
  • Limited retake opportunities may apply with waiting periods
  • Exam content updates periodically — use current study materials
  • Testing center availability may require advance scheduling

Pros and Cons at a Glance

ProsCons
CNN exam preparation strengthens your knowledge across all domainsExam anxiety can affect performance — practice tests help reduce it
Passing the exam proves competency to employers and clientsRegistration fees are non-refundable if you miss your test date
Study materials and practice tests are widely availableLimited retake opportunities may apply with waiting periods
Exam-based credentials are portable across states and employersExam content updates periodically — use current study materials
Clear exam objectives help focus your study plan effectivelyTesting center availability may require advance scheduling

Sample CNN - Convolutional Neural Networks Practice Questions

Try these questions from our free CNN - Convolutional Neural Networks practice tests. The correct answer and an explanation follow each question.

  1. A team is adapting a powerful ImageNet pre-trained model for a new task of classifying industrial machine parts from a large, proprietary dataset of over 200,000 images. The visual characteristics of the machine parts are significantly different from the natural images in ImageNet. What is the most effective transfer learning approach?

    • A. Freeze the entire pre-trained model and only train a new classifier head.
    • B. Discard the pre-trained weights and train the entire model from scratch on the new dataset.
    • C. Unfreeze most or all of the layers and fine-tune the entire network using the pre-trained weights as a starting point.
    • D. Use only the final fully connected layers from the pre-trained model and build a new convolutional base.

    Answer: C. Unfreeze most or all of the layers and fine-tune the entire network using the pre-trained weights as a starting point.

    Because the new dataset is large, there is less risk of overfitting. Since the data domain is different, the model needs to learn more specialized features. The optimal approach is to use the pre-trained weights as a superior alternative to random initialization and fine-tune the entire network, allowing it to adapt its learned features to the new domain of machine parts.

  2. What does a feature map (activation map) represent in a CNN layer?

    • A. The raw pixel values of the input image
    • B. The output of applying a learned filter across the input
    • C. The gradient of the loss with respect to weights
    • D. The pooled output after max pooling only

    Answer: B. The output of applying a learned filter across the input

    A feature map is produced by convolving a learned filter over the input, showing where and how strongly that filter's pattern is detected.

  3. What problem does data augmentation specifically help address during transfer learning fine-tuning?

    • A. Catastrophic forgetting of source task
    • B. Overfitting when the target dataset is small
    • C. Slow convergence due to frozen layers
    • D. Gradient explosion in deep layers

    Answer: B. Overfitting when the target dataset is small

    Data augmentation artificially expands the small target dataset, reducing overfitting during fine-tuning.

  4. Which of the following is a key advantage of DETR over traditional CNN-based detectors?

    • A. It uses more anchor boxes for better coverage
    • B. It eliminates the need for NMS by using a transformer with set prediction
    • C. It achieves higher speed by using fewer layers
    • D. It uses a recurrent backbone instead of a CNN

    Answer: B. It eliminates the need for NMS by using a transformer with set prediction

    DETR treats detection as a direct set prediction problem using a transformer encoder-decoder, removing the need for handcrafted NMS.

Take the full CNN - Convolutional Neural Networks practice test

CNN Exam Flashcards: Quick Nephrology Nursing Facts

Tap any card to flip it. These cover the most-searched Certified Nephrology Nurse (CNN) exam facts.
🧪 🧪 Who administers the CNN certification exam?
The Certified Nephrology Nurse (CNN) exam is administered by the Nephrology Nursing Certification Commission (NNCC). The NNCC is an independent, ANCC-accredited credentialing body affiliated with the American Nephrology Nurses Association (ANNA).
📋 📋 What are the CNN exam eligibility requirements?
To sit for the CNN exam you need a current, unrestricted RN license, a minimum of 2 years of RN experience, and at least 2,000 hours of nephrology nursing practice within the prior two years, plus 30 contact hours of approved nephrology continuing education.
❓ ❓ How many questions are on the CNN exam?
The CNN examination contains 150 multiple-choice questions, of which 125 are scored and 25 are unscored pretest items. You are given three hours to complete the computer-based test at a Prometric testing center.
✅ ✅ What is the passing score for the CNN exam?
The CNN exam uses a scaled score with a passing standard of 95 out of a possible 125 scored questions, set by criterion-referenced standard setting. Scores are reported as pass or fail, and candidates learn their result immediately after finishing.
🩺 🩺 What topics does the CNN exam cover?
The CNN content outline covers hemodialysis, peritoneal dialysis, kidney transplantation, chronic kidney disease management, acute kidney injury, pharmacology, nutrition, fluid and electrolyte balance, and the psychosocial care of nephrology patients across the lifespan.
🔁 🔁 How often do you have to renew CNN certification?
CNN certification is valid for three years. To recertify you must hold a current RN license and complete either 60 contact hours of approved continuing education plus required practice hours, or retake and pass the CNN examination before your credential expires.
💰 💰 How much does the CNN exam cost?
The CNN exam fee is set by the NNCC and is discounted for ANNA members. Candidates typically pay a lower member rate and a higher non-member rate, so joining ANNA before applying can offset part of the examination cost.
⚖️ ⚖️ CNN vs CDN: what is the difference?
The CNN credential is for registered nurses in nephrology, while the Certified Dialysis Nurse (CDN) credential requires fewer practice hours and targets RNs focused specifically on dialysis. Both are offered by the NNCC, but CNN demands broader nephrology experience.
💵 💵 How much do certified nephrology nurses earn?
Nephrology nurses in the United States generally earn salaries in line with other experienced RNs, and certification can strengthen earning potential and promotion prospects. Pay varies by state, employer, and years of experience in dialysis or transplant settings.
📚 📚 How should you study for the CNN exam?
Effective CNN prep combines the ANNA Core Curriculum for Nephrology Nursing, the NNCC content outline, and timed practice questions. Focus on dialysis adequacy, lab value interpretation, and pharmacology, and use flashcards and practice tests to build recall under exam conditions.

CNN Questions and Answers

What is the CNN exam?

The Certified Nephrology Nurse (CNN) exam is a comprehensive certification for nurses with experience in nephrology, validating their expertise in kidney care.

How many questions are on the CNN exam?

The exam contains 175 multiple-choice questions. 150 are scored, and 25 are pilot questions that do not count toward your score.

What score do I need to pass?

While the exact raw score can vary slightly by exam version, you generally need to answer about 70-75% of the questions correctly to pass.

How much does the CNN exam cost?

The standard fee is approximately $425. However, members of the American Nephrology Nurses Association (ANNA) receive a discounted rate of around $350.

How long do I have to study?

Most candidates spend 3-6 months preparing for the exam, using study guides, practice tests, and reviewing clinical guidelines.

Can I take the exam online?

Yes, the NNCC offers both in-person testing at C-NET centers and Live Remote Proctoring (LRP) for taking the exam from home.

What happens if I fail?

If you do not pass, you can retake the exam. You must wait a specific period (usually 90 days) and pay a re-examination fee.

Is the CDN different from CNN?

Yes. The CDN (Certified Dialysis Nurse) focuses specifically on dialysis, while the CNN covers the broader spectrum of nephrology nursing and requires a BSN.

Does my experience need to be recent?

Yes, you need 3,000 hours of nephrology nursing experience within the last 3 years to be eligible for the exam.

Do I need a BSN?

Yes, the CNN certification specifically requires a Bachelor of Science in Nursing (BSN) or a higher nursing degree.

Official Resources

Sources & last verified

  1. Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini — number of questions, time limit, passing score (official source). “The CNN exam consists of 150 questions and must be completed in three (3) hours.” Verified Oct 25, 2026.
  2. Nephrology Nursing Certification Commission (NNCC), with C-NET (Center for Nursing Education and Testing) as test admini — exam fee, retake policy, validity, score release (official source). “$300 ANNA / NOVA / ASN / NKF Member ❏ $350 Non-member” Verified Oct 25, 2026.

How we verify: editorial & fact-checking policy. Report an error: contact us.

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