AIF-C01 Online Practice Questions and Answers

Correct Answer: A

Creating a prompt template that teaches the LLM to detect attack patterns is the most effective way to reduce the risk of the model being manipulated through prompt engineering.

Correct Answer: A

Real-time inference is designed to provide immediate, low-latency predictions, which is necessary when the company requires near real-time latency for its ML models. This option is optimal when there is a need for fast responses, even with

large input data sizes and substantial processing times.

Option A (Correct): "Real-time inference":This is the correct answer because it supports low-latency requirements, which are essential for real-time applications where quick response times are needed.

Option B:"Serverless inference" is incorrect because it is more suited for intermittent, small-scale inference workloads, not for continuous, large-scale, low- latency needs.

Option C:"Asynchronous inference" is incorrect because it is used for workloads that do not require immediate responses.

Option D:"Batch transform" is incorrect as it is intended for offline, large-batch processing where immediate response is not necessary.

AWS AI Practitioner References:

Amazon SageMaker Inference Options:AWS documentation describes real-time inference as the best solution for applications that require immediate prediction results with low latency.

Correct Answer: B

Inference is the correct answer because it is the AI process that occurs when a deployed model analyzes new data (such as an image) to make predictions or identify objects.

Correct Answer: C

Experimenting and refining the prompt is the best approach to ensure that the chatbot using a foundation model (FM) produces responses that adhere to the company's tone.

Correct Answer: A

Providing labeled data with both a prompt field and a completion field is the correct strategy for fine-tuning a foundation model (FM) on Amazon Bedrock.

Correct Answer: D

Amazon SageMaker Canvas is a visual, no-code machine learning interface that allows users to build machine learning models without having any coding experience or knowledge of machine learning algorithms. It enables users to analyze

internal and external data, and make predictions using a guided interface. Option D (Correct): "Import the data into Amazon SageMaker Canvas. Build ML models and demand forecast predictions by selecting the values in the data from

SageMaker Canvas":This is the correct answer because SageMaker Canvas is designed for users without coding experience, providing a visual interface to build predictive models with ease.

Option A:"Store the data in Amazon S3 and use SageMaker built-in algorithms" is incorrect because it requires coding knowledge to interact with SageMaker's built- in algorithms.

Option B:"Import the data into Amazon SageMaker Data Wrangler" is incorrect. Data Wrangler is primarily for data preparation and not directly focused on creating ML models without coding.

Option C:"Use Amazon Personalize Trending-Now recipe" is incorrect as Amazon Personalize is for building recommendation systems, not for general demand forecasting.

AWS AI Practitioner

References:

Amazon SageMaker Canvas Overview:AWS documentation emphasizes Canvas as a no-code solution for building machine learning models, suitable for business analysts and users with no coding experience.

Correct Answer: A

A multi-modal embedding model is the correct type of foundation model (FM) for powering a search application that handles queries containing both text and images.

Correct Answer: A

Amazon SageMaker Ground Truth Plus is a managed data labeling service that includes human-in-the-loop (HITL) validation. This solution ensures high accuracy by involving human reviewers to validate the annotations and reduce the risk of incorrect annotations.

Correct Answer: D

AWS Data Exchange is a service that allows companies to securely exchange data with third parties, such as independent software vendors (ISVs). AWS Data Exchange can be configured to provide notifications, including email notifications,

when new datasets or compliance reports become available.

Option D (Correct): "AWS Data Exchange":This is the correct answer because it enables the company to receive notifications, including email messages, when ISVs' compliance reports are available.

Option A:"AWS Audit Manager" is incorrect because it focuses on assessing an organization's own compliance, not receiving third-party compliance reports. Option B:"AWS Artifact" is incorrect as it provides access to AWS's compliance

reports, not ISVs'.

Option C:"AWS Trusted Advisor" is incorrect as it offers optimization and best practices guidance, not compliance report notifications.

AWS AI Practitioner

References:

AWS Data Exchange Documentation:AWS explains how Data Exchange allows organizations to subscribe to third-party data and receive notifications when updates are available.

Correct Answer: B

Sampling bias is the correct type of bias affecting the model output when it disproportionately flags people from a specific ethnic group.

Correct Answer: B

Reinforcement learning allows a model to learn and improve over time based on feedback from its environment. In this case, the chatbot can improve its responses by being rewarded for positive customer feedback, which aligns well with the

goal of self- improvement based on past interactions and new information. Option B (Correct): "Reinforcement learning with rewards for positive customer feedback":This is the correct answer as reinforcement learning enables the chatbot to

learn from feedback and adapt its behavior accordingly, providing self- improvement capabilities.

Option A:"Supervised learning with a manually curated dataset" is incorrect because it does not support continuous learning from new interactions. Option C:"Unsupervised learning to find clusters of similar customer inquiries" is incorrect

because unsupervised learning does not provide a mechanism for improving responses based on feedback.

Option D:"Supervised learning with a continuously updated FAQ database" is incorrect because it still relies on manually curated data rather than self- improvement from feedback.

AWS AI Practitioner

References:

Reinforcement Learning on AWS:AWS provides reinforcement learning frameworks that can be used to train models to improve their performance based on feedback.

Correct Answer: C

Guardrails for Amazon Bedrock provide mechanisms to filter and control the content generated by models to comply with privacy and policy requirements. Using guardrails ensures that sensitive or personal information is not included in the

model's responses. Additionally, integrating Amazon CloudWatch alarms allows for real-time notification when a policy violation occurs.

Option C (Correct): "Use Guardrails for Amazon Bedrock to filter content. Set up Amazon CloudWatch alarms for notification of policy violations":This is the correct answer because it directly addresses both the prevention of policy violations

and the requirement to receive notifications when such violations occur. Option A:"Use Amazon Macie to scan the model's output for sensitive data" is incorrect because Amazon Macie is designed to monitor data in S3, not to filter real-time

model outputs.

Option B:"Configure AWS CloudTrail to monitor the model's responses" is incorrect because CloudTrail tracks API activity and is not suited for content moderation.

Option D:"Implement Amazon SageMaker Model Monitor to detect data drift" is incorrect because data drift detection does not address content moderation or privacy compliance.

AWS AI Practitioner

References:

Guardrails in Amazon Bedrock:AWS provides guardrails to ensure AI models comply with content policies, and using CloudWatch for alerting integrates monitoring capabilities.

Correct Answer: B

The context window determines how much information can fit into a single prompt when using a large language model (LLM) like those on Amazon Bedrock.

Correct Answer: B

The business objective to evaluate the effect of an LLM chatbot aimed at reducing the actions required by call center employees should beaverage call duration.

Correct Answer: C

Amazon QuickSight is a fully managed business intelligence (BI) service that allows users to create and publish interactive dashboards that include visualizations like graphs, charts, and tables. "Amazon Q" is the natural language query

feature within Amazon QuickSight. It enables users to ask questions about their data in natural language and receive visual responses such as graphs.

Option C (Correct): "Amazon Q in Amazon QuickSight":This is the correct answer because Amazon QuickSight Q is specifically designed to allow users to explore their data through natural language queries, and it can automatically generate

graphs to display sales data and other metrics. This makes it an ideal choice for the company to automate the generation of graphs showing total sales for its top- selling products across various retail locations.

Option A, B, and D:These options are incorrect:

AWS AI Practitioner

References:

Amazon QuickSight Qis designed to provide insights from data by using natural language queries, making it a powerful tool for generating automated graphs and visualizations directly from queried data.

Business Intelligence (BI) on AWS:AWS services such as Amazon QuickSight provide business intelligence capabilities, including automated reporting and visualization features, which are ideal for companies seeking to visualize data like

sales trends over time.