Free AIF-C01 Exam Dumps

A company wants to use AI to protect its application from threats. The AI solution needs to check if an IP address is from a suspicious source.
Which solution meets these requirements?

Correct Answer:C
An anomaly detection system is suitable for identifying unusual patterns or behaviors, such as suspicious IP addresses, which might indicate a potential threat.
✑ Anomaly Detection:
✑ Why Option C is Correct:
✑ Why Other Options are Incorrect:
Thus, C is the correct answer for detecting suspicious IP addresses.

Which option is a benefit of ongoing pre-training when fine-tuning a foundation model (FM)?

Correct Answer:B
Ongoing pre-training when fine-tuning a foundation model (FM) improves model performance over time by continuously learning from new data.
✑ Ongoing Pre-Training:
✑ Why Option B is Correct:
✑ Why Other Options are Incorrect:

An AI company periodically evaluates its systems and processes with the help of independent software vendors (ISVs). The company needs to receive email message notifications when an ISV's compliance reports become available.
Which AWS service can the company use to meet this requirement?

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.

A company is building an ML model to analyze archived data. The company must perform inference on large datasets that are multiple GBs in size. The company does not need to access the model predictions immediately.
Which Amazon SageMaker inference option will meet these requirements?

Correct Answer:A
Batch transform in Amazon SageMaker is designed for offline processing of large datasets. It is ideal for scenarios where immediate predictions are not required, and the inference can be done on large datasets that are multiple gigabytes in size. This method processes data in batches, making it suitable for analyzing archived data without the need for real- time access to predictions.
✑ Option A (Correct): "Batch transform": This is the correct answer because batch
transform is optimized for handling large datasets and is suitable when immediate access to predictions is not required.
✑ Option B: "Real-time inference" is incorrect because it is used for low-latency, real-
time prediction needs, which is not required in this case.
✑ Option C: "Serverless inference" is incorrect because it is designed for small-scale, intermittent inference requests, not for large batch processing.
✑ Option D: "Asynchronous inference" is incorrect because it is used when immediate predictions are required, but with high throughput, whereas batch transform is more suitable for very large datasets.
AWS AI Practitioner References:
✑ Batch Transform on AWS SageMaker: AWS recommends using batch transform for large datasets when real-time processing is not needed, ensuring cost- effectiveness and scalability.

A company wants to deploy a conversational chatbot to answer customer questions. The chatbot is based on a fine-tuned Amazon SageMaker JumpStart model. The application must comply with multiple regulatory frameworks.
Which capabilities can the company show compliance for? (Select TWO.)

Correct Answer:BC
To comply with multiple regulatory frameworks, the company must ensure data protection and threat detection. Data protection involves safeguarding sensitive customer information, while threat detection identifies and mitigates security threats to the application.
✑ Option C (Correct): "Data protection": This is correct because data protection is
critical for compliance with privacy and security regulations.
✑ Option B (Correct): "Threat detection": This is correct because detecting and mitigating threats is essential to maintaining the security posture required for regulatory compliance.
✑ Option A: "Auto scaling inference endpoints" is incorrect because auto-scaling does not directly relate to regulatory compliance.
✑ Option D: "Cost optimization" is incorrect because it is focused on managing expenses, not compliance.
✑ Option E: "Loosely coupled microservices" is incorrect because this architectural approach does not directly address compliance requirements.
AWS AI Practitioner References:
✑ AWS Compliance Capabilities: AWS offers services and tools, such as data protection and threat detection, to help companies meet regulatory requirements for security and privacy.