Using OCI Generative AI Service

A company uses OCI Generative AI Service to build a chatbot for customer support. They notice that the model sometimes generates inappropriate responses. What is the MOST effective way to mitigate this without retraining the model?

A developer wants to use OCI Generative AI Service to summarize long documents. Which endpoint should they use to send the document content?

An organization deploys a fine-tuned model for legal document analysis using OCI Generative AI Service. They need to ensure that only authorized users in the 'LegalTeam' group can access the model endpoint. Which policy statement should be used?

A data scientist is using OCI Generative AI Service to generate product descriptions. They notice that the output often repeats phrases. Which parameter adjustment would MOST directly address this issue?

A company needs to integrate OCI Generative AI Service with an existing application that uses OCI IAM for authentication. They want to use resource principal to allow the application to call the service without storing API keys. Which step is REQUIRED?

A developer is using OCI Generative AI Service to generate code snippets. They want to ensure the output is as deterministic as possible for testing. Which combination of parameters should they use?

A company uses OCI Generative AI Service to generate personalized email content. They need to ensure that personally identifiable information (PII) is not included in the model's training data. What should they do?

Which TWO of the following are valid ways to reduce latency when using OCI Generative AI Service?

Which THREE of the following are supported capabilities of OCI Generative AI Service?

Which TWO of the following are required to fine-tune a model using OCI Generative AI Service?

Refer to the exhibit. A user runs the command shown and receives the error: 'ServiceError: NotAuthorizedOrNotFound'. What is the MOST likely cause?

Refer to the exhibit. A developer sends this JSON payload to the /chat endpoint. The response includes an error that 'maxTokens' must be an integer. What is the issue?

A startup is building a chatbot for customer support using OCI Generative AI Service. The chatbot needs to answer queries about product features based on a knowledge base of product documentation. Which configuration is most appropriate for this use case?

An enterprise deployed a custom fine-tuned model for generating financial reports. After the first month, the model's outputs began to include outdated information and occasional factual errors. The team suspects data drift. What is the best course of action?

A healthcare company is deploying OCI Generative AI Service for clinical decision support. They must ensure that model outputs are auditable, explainable, and free from patient data exposure. Which combination of OCI features should they use?

A developer is using OCI Generative AI Service to generate product descriptions. The outputs are often too generic and lack brand-specific tone. The developer has a small set of 20 high-quality example descriptions. What is the most efficient approach to improve output quality?

A team is using OCI Generative AI Agents to build a customer support bot. The bot sometimes generates answers that contradict the knowledge base. What is the most likely cause?

A company is deploying a multi-language chatbot using OCI Generative AI Service. The chatbot must support English, Spanish, and French. The team finds that responses in Spanish are less accurate than in English. They have a small bilingual dataset. What is the best approach?

Which TWO measures can help reduce the risk of generating toxic or unsafe content when using OCI Generative AI Service?

Which THREE factors are important when designing a multi-turn conversational agent using OCI Generative AI Agents?

A financial services company deployed a fine-tuned model using OCI Generative AI Service to generate investment advice based on quarterly reports. The model was trained on 10,000 labeled examples and achieved high accuracy in testing. However, after three months in production, the model's outputs have become inconsistent and sometimes recommend investments based on outdated market conditions. The team has received multiple complaints from users about inaccurate advice. The model is deployed on a dedicated AI cluster with auto-scaling disabled. The OCI audit logs show no configuration changes. The team suspects data drift and wants to mitigate it without incurring high costs. They have a pipeline that can collect new labeled data monthly, but it takes two weeks to process. What should the team do?

A retail company uses OCI Generative AI Agents to power a product recommendation chatbot on their e-commerce website. The chatbot is integrated with a knowledge base containing product descriptions, customer reviews, and inventory data. Recently, the chatbot has started recommending out-of-stock products frequently, leading to customer frustration. The development team verified that the knowledge base is updated in real-time with inventory data. The chatbot's configuration uses a chunking strategy with a chunk size of 500 tokens and an overlap of 50 tokens. The team suspects the issue is related to how the agent retrieves information. They have access to OCI Logging and Monitoring. Which course of action should the team take first?

You are a cloud architect at a healthcare company that uses OCI Generative AI Service to analyze patient records and generate clinical summaries. The service is deployed in the Frankfurt region with a dedicated AI cluster. Recently, the compliance team flagged that some generated summaries contain hallucinated diagnoses not present in the source records. They demand immediate mitigation. The current setup uses the default model (cohere.command-r-08-2024) with temperature=0.7, top_p=0.9, and max_tokens=2048. The application sends the entire patient record as a single prompt. You have access to OCI Logging, monitoring metrics (latency, request count, token count, safety filter rejections), and the AI service's model fine-tuning capability. You must reduce hallucinations while minimizing latency increase. What is the most effective course of action?

A developer wants to use the OCI Generative AI service to generate text using a Cohere model. Which SDK class should be used for inference calls?

A user has attached an IAM policy granting access to the generative-ai-family resource type, but API calls to the Generative AI service return a 403 Forbidden error. What is the most likely cause?

A company is building a customer support chatbot that uses Retrieval-Augmented Generation (RAG) with OCI Generative AI. They need low-latency responses and the ability to update the knowledge base daily. Which architecture best meets these requirements?

Which model family is NOT currently available in OCI Generative AI service?

After fine-tuning a Cohere Command model on a dataset of customer emails, the model performs well on validation data but poorly on new, unseen emails. Which action is most likely to improve generalization?

A multinational corporation plans to deploy OCI Generative AI in multiple OCI regions for disaster recovery. They have fine-tuned a custom model in the primary region. What is the recommended approach to make the fine-tuned model available in the secondary region with minimal manual effort?

When using OCI Generative AI with a fine-tuned model, what is the primary benefit of creating a dedicated AI cluster?

A data scientist receives an error when calling the embed_text API: "InvalidRequest: input too long". What is the most likely cause and solution?

A financial services firm needs to extract named entities from legal contracts using OCI Generative AI. They require high accuracy and must handle domain-specific terminology. Which approach is most effective?

Which TWO deployment options are available for using fine-tuned models with OCI Generative AI service?

Which THREE steps are necessary to secure access to the OCI Generative AI inference API in a production environment?

Which TWO operations are supported by the OCI Generative AI inference API?

A company wants to use OCI Generative AI to summarize customer feedback. They need low latency and high throughput. Which configuration should they choose?

A healthcare company must use OCI Generative AI for medical report generation. They need to ensure PHI is not sent to third-party models. Which approach best ensures data stays within OCI?

A financial firm wants to use OCI Generative AI for contract analysis. They need to reduce costs by using a smaller, specialized model. Which approach should they take?

A company is deploying OCI Generative AI for a chatbot that must answer customer queries within 500ms. They choose a dedicated AI cluster but observe 2-second latency. What is the most likely cause?

A developer needs to integrate OCI Generative AI into a Python application. Which SDK should they use?

An organization wants to use OCI Generative AI for real-time document translation. They need high availability across regions. Which deployment option meets this requirement?

A data scientist fine-tuned a model on OCI Gen AI using a dedicated AI cluster. After deployment, the model gives inaccurate results. Which troubleshooting step should they take first?

A company wants to use OCI Generative AI but must comply with GDPR. Which feature ensures data residency?

A user gets a 'Model not found' error when calling an OCI Gen AI endpoint. What is the most likely cause?

Which TWO configurations are required to use a custom fine-tuned model on OCI Gen AI?

Which THREE factors should be considered when choosing a base model for OCI Gen AI?

Which TWO steps are necessary to deploy a fine-tuned model on a dedicated AI cluster?

Refer to the exhibit. A user receives this error when calling the OCI Gen AI inference endpoint. What is the most likely cause?

Refer to the exhibit. A user runs 'oci generative-ai model list' and sees this output. They then try to use 'cohere.command-light' but get an error. What is the most likely reason?

Refer to the exhibit. A user runs this command and gets an error: 'InvalidParameter: unit-shape 'GPU.1' is not supported in this region. Supported shapes: GPU.2, GPU.4'. What should the user do?

A company requires a generative AI service to automatically summarize customer support transcripts. Which OCI Generative AI model is most suitable for this task?

Users report that inference requests to the OCI Generative AI service are taking longer than expected. The application uses the on-demand endpoint. What is the most likely cause of the increased latency?

A team is building a Retrieval-Augmented Generation (RAG) pipeline using OCI Generative AI. They need to store and retrieve document embeddings for semantic search. Which OCI service is most appropriate as the vector store?

A data scientist wants to fine-tune a generative AI model on proprietary customer data. What is a best practice for preparing the training dataset?

Which authentication method should be used to securely call the OCI Generative AI API from a microservice running on OCI Compute?

A company runs batch inference jobs daily using the OCI Generative AI service. The current cost is higher than expected. Which change would most effectively reduce cost while maintaining throughput?

A retail company wants to generate product descriptions from attribute data. They have no prior AI experience. Which approach is most appropriate?

An application using OCI Generative AI produces inconsistent responses to the same user query. The developer suspects the model's output variability is too high. Which parameter adjustment would most directly reduce output randomness?

A company is deploying a customer-facing chatbot using OCI Generative AI. They need to prevent the model from generating offensive or harmful content. Which feature should they implement?

Which TWO are benefits of using dedicated AI clusters for OCI Generative AI?

Which THREE models are available as part of the OCI Generative AI service?

Which TWO factors are most important when deciding between on-demand and dedicated AI clusters for OCI GenAI?

Refer to the exhibit. The user requested a long story but the response is cut short. What is the most likely cause?

Refer to the exhibit. The group DataScientists can run inference but cannot fine-tune a model on a dedicated AI cluster. Which additional policy statement is required to allow fine-tuning?

Refer to the exhibit. In this RAG pipeline, what is the role of the 'embedding_model' variable?

A healthcare company wants to use OCI Generative AI to summarize patient medical records while ensuring PHI compliance. Which OCI service feature should they enable?

An enterprise is fine-tuning a Cohere model using OCI Generative AI for a domain-specific task. After training, the model shows high accuracy on validation data but poor performance on unseen test data. What is the most likely cause?

A developer wants to generate text embeddings using OCI Generative AI. Which model endpoint should they call?

A company is using OCI Generative AI for customer support chatbots. They notice that responses sometimes include offensive content. Which built-in safety feature should they configure?

A data scientist is fine-tuning a model on OCI Generative AI with a custom dataset. They receive a "QuotaExceeded" error during training. What is the most likely cause?

Which OCI Generative AI parameter controls the diversity of generated text by increasing the probability of less likely tokens?

A company wants to use OCI Generative AI to analyze legal documents and extract key clauses. Which model type is best suited for this task?

A developer is using the OCI Generative AI SDK to call a custom fine-tuned model. They get an HTTP 404 error. What is the most likely issue?

Which OCI Generative AI capability allows you to provide example input-output pairs to guide the model's behavior without fine-tuning?

Which TWO actions are required to use a custom fine-tuned model via OCI Generative AI? (Choose two.)

Which THREE parameters can be adjusted to reduce repetition in generated text? (Choose three.)

Which TWO statements about OCI Generative AI fine-tuning are true? (Choose two.)

A developer runs this CLI command but receives only one response instead of three. What is the most likely cause?

An administrator creates this IAM policy to allow a group to use a specific generative AI model. However, users report a 403 Forbidden error. What is the most likely issue?

A developer makes an API call to generate text with top_p=1.5. What is the correct way to fix this error?

A company wants to use OCI Generative AI service to automatically generate product descriptions for an e-commerce catalog. They have 10,000 products. What is the best approach to ensure high-quality, consistent descriptions?

A developer is using OCI Generative AI service's CLI to generate text but gets a 'Rate limit exceeded' error. What is the most likely cause?

A company is using OCI Generative AI to generate code snippets and notices that the model sometimes produces code with security vulnerabilities. They have a small dataset of secure code examples. Which approach would be most effective to reduce vulnerabilities?

An organization wants to use OCI Generative AI to summarize long legal documents. They need to ensure the summary is concise and retains key information. Which model parameter should they set to control the length of the summary?

A data scientist is fine-tuning a Cohere model on OCI Generative AI service for a custom classification task. They have a dataset of 1000 labeled examples. What is the minimum recommended dataset size for fine-tuning?

A company uses OCI Generative AI service with a Cohere Command model for a real-time chat application and experiences high latency. They have already set max_tokens to 50 and temperature to 0.2. Which further change would be most effective in reducing latency?

Which OCI Generative AI service model family supports fine-tuning with custom datasets?

A developer is using the OCI Generative AI service API and receives a '400 Bad Request' with error 'Model not found'. What is the most likely cause?

An enterprise wants to use OCI Generative AI to generate personalized email campaigns. They have a large customer database with preferences and past purchase history. Which design is best for high relevance and scalability?

Which TWO configuration steps are required to enable OCI Generative AI service in a tenancy? (Select two.)

Which THREE factors should be considered when choosing between fine-tuning a model and using a pre-trained model with prompt engineering? (Select three.)

Which THREE OCI Generative AI service features help in controlling the cost of API calls? (Select three.)

Refer to the exhibit. A developer runs the command and receives the error. What is the issue?

Refer to the exhibit. A user in group GenAIUsers tries to use the `oci generative-ai model chat` command but gets 'not authorized'. Why?

Refer to the exhibit. The API Gateway fails to invoke the Generative AI service. What is the most likely missing configuration?

A company wants to use OCI Generative AI service to generate email summaries for customer support. They need to ensure low latency and data residency in Frankfurt. What should they use?

A data scientist wants to quickly test a prompt with different parameters like temperature and max tokens without writing code. Which OCI GenAI feature should they use?

A developer receives a 403 error when calling the OCI GenAI API from a function. They have set up policies for the function's dynamic group. What is the most likely cause?

A company is fine-tuning a Llama model on OCI with dedicated AI cluster. They want to use their own training data stored in Oracle Object Storage. What must they do to ensure the fine-tuning job can access the data?

A company notices that their OCI GenAI managed serving endpoint returns incomplete responses for long prompts. What is the most likely cause?

A security team requires that all OCI GenAI API calls be logged and audited. Despite enabling Audit logs in OCI, they do not see GenAI API calls. What is the most likely reason?

A company wants to deploy a custom fine-tuned model for retrieval-augmented generation (RAG) using dedicated AI cluster. They need to ensure the model can handle concurrent requests from multiple applications with consistent latency. What should they configure?

A developer wants to integrate OCI GenAI into a Java application. Which SDK should they use?

An architect is designing a GenAI solution for document summarization that must meet GDPR compliance. The data should not leave the EU. OCI GenAI models are available in Frankfurt, London, and Paris. Which is the best approach?

Which TWO actions are required to enable a user to access OCI Generative AI service?

Which THREE are valid ways to interact with OCI Generative AI?

A company is using dedicated AI cluster for fine-tuning. Which TWO best practices help optimize cost?

A healthcare company is deploying an OCI Generative AI service to summarize patient notes. They have recently moved from a managed serving endpoint to a dedicated AI cluster to ensure data privacy. The fine-tuned model is deployed on a dedicated cluster in the US West region. Users report that the summarization responses are now slower and occasionally timeout. The IT team checks the metrics: the cluster has 1 replica and CPU utilization is at 90%. The Object Storage bucket containing the model artifacts is in the same region. They have increased the timeout in their client configuration to 120 seconds, but still get timeouts. What should they do first to address the issue?

A financial services company has deployed a custom fine-tuned model using OCI Generative AI service on a dedicated AI cluster for automated report generation. They use a Python application that sends prompts via the OCI SDK. Recently, they started seeing 429 Too Many Requests errors intermittently. The dedicated cluster has 2 replicas and the application is making about 100 requests per second. The cluster's documented throughput is 50 requests per second per replica. The company has not set up any throttling limits. What is the most likely cause of the 429 errors?

A startup wants to quickly prototype a chatbot using OCI Generative AI service. They have no prior experience with OCI. They want to test different models and parameters without writing any code and within a few minutes. They also want to save prompts and compare results. Which approach should they use?

A company uses OCI Generative AI service for customer support summarization. They notice the model frequently misses key details and generates hallucinations. What should they do first?

A financial institution wants to use OCI Generative AI to analyze sensitive customer documents. They need to ensure no data leaves OCI and the model is fine-tuned on their proprietary data. Which deployment option should they choose?

A developer wants to generate text using the OCI Generative AI service via the API. Which endpoint should they use to send a text generation request?

Which TWO are benefits of using OCI Generative AI service's dedicated AI cluster?

Which THREE factors should be considered when choosing a model for a summarization task using OCI Generative AI?

A company deployed OCI Generative AI for a customer service chatbot. They are using the Cohere command model. The chatbot is generating responses that are too brief and often cut off mid-sentence. They have limited budget. What should they do?

An e-commerce company uses OCI Generative AI to generate product descriptions. They have fine-tuned the model on their product catalog. They notice that the descriptions are accurate but lack creativity and are repetitive. They want to maintain accuracy while adding variety. What change should they make?

A healthcare organization is using OCI Generative AI to analyze medical records. They must comply with HIPAA. They have set up a dedicated AI cluster with private endpoints. However, they are concerned about model hallucinations that could lead to incorrect medical advice. They want to minimize hallucinations while maintaining usefulness. Which approach is most effective?

A startup is using OCI Generative AI serverless inference for a text generation application. They notice that the latency is high during peak hours. They have a budget to increase costs moderately. Which action would most effectively reduce latency?

A data scientist is fine-tuning a model on OCI Generative AI to generate code comments. They use a dataset of 10,000 examples. After fine-tuning, the model generates comments that are too similar to the training data and lack generalization. What is the most likely cause?

A company uses OCI Generative AI to generate legal document summaries. They have a custom model deployed on a dedicated AI cluster. They want to ensure that the model is not used by unauthorized users. They also need to log all inference requests for auditing. Which combination of OCI services should they use?

A developer is using the OCI Generative AI SDK in Python to call the cohere.command model. They are getting a 401 Unauthorized error. They have configured the SDK with their tenancy OCID and user OCID. What is the most likely missing piece?

A developer needs to authenticate API calls to OCI Generative AI from a compute instance. Which TWO methods can be used?

Refer to the exhibit. A developer receives this error when trying to get details of a model they know exists. What is the most likely cause?

A healthcare startup uses OCI Generative AI to automatically generate patient summary reports from clinical notes. They use the Cohere command model (command-r-plus) with default parameters. Over the past week, the team has noticed two issues: (1) the summaries occasionally contain medical inaccuracies, such as incorrect drug dosages or misinterpreted lab results, and (2) the response time has increased from an average of 2 seconds to over 10 seconds. The application has a high volume of concurrent requests, and the startup has already increased the max tokens to 4096 and set temperature to 0.1. The model appears to perform well on general language tasks but struggles with specialized medical terminology. The team is looking for a long-term solution that balances accuracy, latency, and cost. What should they do?