Which ONE of the following approaches to labelling requires the least time and effort?SELECT ONE OPTION
Answer(s): B
Labelling Approaches: Among the options provided, pre-labeled datasets require the least time and effort because the data has already been labeled, eliminating the need for further manual or automated labeling efforts.
ISTQB_CT-AI_Syllabus_v1.0, Section 4.5 Data Labelling for Supervised Learning, which discusses various approaches to data labeling, including pre-labeled datasets, and their associated time and effort requirements.
In a certain coffee producing region of Colombia, there have been some severe weather storms, resulting in massive losses in production. This caused a massive drop in stock price of coffee.Which ONE of the following types of testing SHOULD be performed for a machine learning model for stock-price prediction to detect influence of such phenomenon as above on price of coffee stock.SELECT ONE OPTION
Answer(s): C
Type of Testing for Stock-Price Prediction Models: Concept drift refers to the change in the statistical properties of the target variable over time. Severe weather storms causing massive losses in coffee production and affecting stock prices would require testing for concept drift to ensure that the model adapts to new patterns in data over time.
ISTQB_CT-AI_Syllabus_v1.0, Section 7.6 Testing for Concept Drift, which explains the need to test for concept drift in models that might be affected by changing external factors.
Which ONE of the following types of coverage SHOULD be used if test cases need to cause each neuron to achieve both positive and negative activation values?SELECT ONE OPTION
Coverage for Neuron Activation Values: Sign change coverage is used to ensure that test cases cause each neuron to achieve both positive and negative activation values. This type of coverage ensures that the neurons are thoroughly tested under different activation states.
ISTQB_CT-AI_Syllabus_v1.0, Section 6.2 Coverage Measures for Neural Networks, which details different types of coverage measures, including sign change coverage.
Which ONE of the following describes a situation of back-to-back testing the LEAST?SELECT ONE OPTION
Back-to-back testing is a method where the same set of tests are run on multiple implementations of the system to compare their outputs. This type of testing is typically used to ensure consistency and correctness by comparing the outputs of different implementations under identical conditions. Let's analyze the options given:A . Comparison of the results of a current neural network model ML model implemented in platform A (for example Pytorch) with a similar neural network model ML model implemented in platform B (for example Tensorflow), for the same data.This option describes a scenario where two different implementations of the same type of model are being compared using the same dataset. This is a typical back-to-back testing situation.B . Comparison of the results of a home-grown neural network model ML model with results in a neural network model implemented in a standard implementation (for example Pytorch) for the same data.This option involves comparing a custom implementation with a standard implementation, which is also a typical back-to-back testing scenario to validate the custom model against a known benchmark.C . Comparison of the results of a neural network ML model with a current decision tree ML model for the same data.This option involves comparing two different types of models (a neural network and a decision tree). This is not a typical scenario for back-to-back testing because the models are inherently different and would not be expected to produce identical results even on the same data.D . Comparison of the results of the current neural network ML model on the current data set with a slightly modified data set.This option involves comparing the outputs of the same model on slightly different datasets. This could be seen as a form of robustness testing or sensitivity analysis, but not typical back-to-back testing as it doesn't involve comparing multiple implementations.Based on this analysis, option C is the one that describes a situation of back-to-back testing the least because it compares two fundamentally different models, which is not the intent of back-to-back testing.
Which ONE of the following options does NOT describe an Al technology related characteristic which differentiates Al test environments from other test environments?SELECT ONE OPTION
Answer(s): D
AI test environments have several unique characteristics that differentiate them from traditional test environments. Let's evaluate each option:A . Challenges resulting from low accuracy of the models.Low accuracy is a common challenge in AI systems, especially during initial development and training phases. Ensuring the model performs accurately in varied and unpredictable scenarios is a critical aspect of AI testing.B . The challenge of mimicking undefined scenarios generated due to self-learning.AI systems, particularly those that involve machine learning, can generate undefined or unexpected scenarios due to their self-learning capabilities. Mimicking and testing these scenarios is a unique challenge in AI environments.C . The challenge of providing explainability to the decisions made by the system.Explainability, or the ability to understand and articulate how an AI system arrives at its decisions, is a significant and unique challenge in AI testing. This is crucial for trust and transparency in AI systems.D . Challenges in the creation of scenarios of human handover for autonomous systems.While important, the creation of scenarios for human handover in autonomous systems is not a characteristic unique to AI test environments. It is more related to the operational and deployment challenges of autonomous systems rather than the intrinsic technology-related characteristics of AI .Given the above points, option D is the correct answer because it describes a challenge related to operational deployment rather than a technology-related characteristic unique to AI test environments.
Share your comments for iSQI CT-AI exam with other users:
Question 366:Question 366 asks how to apply an Application Security Group (ASG1) to VM1. The key concept is that an ASG is attached to network interfaces, not directly to a VM.
Question 1:Correct answer: Redeploy VM1 and VM2 to the same availability set. Why:
Question 1:Here’s a targeted explanation of Question 1.
%windir%\setup\scripts
SetupComplete.cmd
%WINDIR%\Setup\Scripts\
powershell.exe -NoProfile -ExecutionPolicy Bypass -File YourScript.ps1
Question 1:The correct answer is C. Why: In few-shot prompting, the value comes from high-quality, representative demonstrations. The examples should be diverse and typical of what the model will see in production, so the model learns the true input–label mapping and generalizes to unseen emails. Why the other options are less appropriate:
AWESOME and Thanku
Question 24:Question 24 asks which three actions are needed to set up intercompany accounting between two legal entities. The three correct actions are:
Question 1:The correct answer is Enabling team.
Question 1:
Question 1:The best solution is A: Configure a SetupComplete.cmd batch file in the %windir%\setup\scripts directory. Why this is correct:
Question 9:Question 9 asks about how GitHub Copilot identifies public code matches when the public code filter is on.
Question 2:I can’t view the exhibit image, but this is the typical NetApp ONTAP behavior for Question 2.
Question 23:Question 23 describes a multimodal model where users can upload unsafe images that could contain hidden instructions. The goal is to implement controls to mitigate this risk. Key points to understand
beautiful exams
You need to implement the date dimension in the data store. The solution must meet the technical requirements. What are two ways to achieve the goal? Each correct answer presents a complete solution. NOTE: Each correct selection is worth one point. Populate the date dimension table by using a dataflow. Populate the date dimension table by using a Copy activity in a pipeline. Populate the date dimension view by using T-SQL. Populate the date dimension table by using a Stored procedure activity in a pipeline.Please answer
Question 14:
Question 5:Question 5 asks how to identify min and max values for each column in a Dataflow result. Correct options: B and E.
Question 18:Question 18: Why not A?
Question 4:Question 4 is about when to use batch processing.
Question 5:I can’t see the [Image] in Question 5, but I can explain the likely reasoning.
Question 12:Here’s why Question 12’s correct choices are C and D.
Question 3:Question 3 asks for two valid ways to meet the purchase order creation validation (warn if the vendor is on the exclusion list for the customer/product and block/alert accordingly). Correct answers: C and D
Question 12:Here’s how to understand question 12.
Question 6:Here’s how question 6 works. Key constraint: All new and extended objects must be in an existing model named FinanceExt. Creating a brand-new model is not allowed. Why the two correct options work:
Question 2:I don’t have the text for Question 2 here. Please paste the exact Question 2 (including all answer choices) or describe the topic it covers. Once I have it, I’ll:
Which statement is true about using default environment variables? The environment variables can be read in workflows using the ENV: variable_name syntax. The environment variables created should be prefixed with GITHUB_ to ensure they can be accessed in workflows The environment variables can be set in the defaults: sections of the workflow The GITHUB_WORKSPACE environment variable should be used to access files from within the runner.Correct answer: The statement "The GITHUB_WORKSPACE environment variable should be used to access files from within the runner." is true. Why the others are false:
${{ env.VARIABLE }}
$VARIABLE
GITHUB_
defaults:
run
GITHUB_WORKSPACE
${{ github.workspace }}
$GITHUB_WORKSPACE/...
${{ github.workspace }}/...
As an administrator for this subscription, you have been tasked with recommending a solution that prohibits users from copying corporate information from managed applications installed on unmanaged devices. Which of the following should you recommend? Windows Virtual Desktop. Microsoft Intune. Windows AutoPilot. Azure AD Application Proxy.
Question 34:
Policy
function of appnav in sdwan
Question 5:
Why this is correct
Question 7:
Question 104:
clustering keys
Q23: Fabric Admin is correct. Because Domain admin cannot create domains. Only Fabric Admin can among the given options. Q51: Wrapping @pipeline.parameter.param1 inside {} will return a string. But question requires the expression to return Int, so correct answer should be @pipeline.parameter.param1 (no {})
Keeping this site free takes real effort. We constantly battle automated scraping and unauthorized content copying. A quick account helps us protect the community and keep the site free.
To continue studying for your CT-AI, please sign in or create a free account.