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Google Generative-AI-Leader Exam Syllabus Topics:
Topic
Details
Topic 1
- Servicing AV Solutions: This section of the exam measures skills of an AV Maintenance Technician and focuses on maintaining and repairing AV systems. Tasks include supervising operations, conducting routine maintenance such as firmware updates and component replacements, and resolving issues through troubleshooting and repair processes, ensuring long-term system performance.
Topic 2
- Implementing AV Solutions: This section of the exam measures the skills of an AV Integration Technician and focuses on turning AV system designs into reality. It assesses the ability to integrate systems by verifying components and managing supply installations, as well as handling documentation, training, and creating as-built schematics that support ongoing system operation.
Topic 3
- Creating AV Solutions: This section of the exam measures the skills of an AV Systems Designer and covers the processes involved in understanding client requirements and translating them into practical AV solutions. It includes tasks such as conducting customer needs analysis, performing site surveys to evaluate conditions like lighting and acoustics, developing AV project scopes, and designing system layouts and documentation.
Topic 4
- Supporting AV System Operation: This section of the exam measures the skills of an AV Support Specialist and focuses on providing assistance in operating audiovisual systems. It includes remote and onsite troubleshooting, training users, and delivering live event support, ensuring systems function effectively in real-world usage scenarios.
Google Cloud Certified - Generative AI Leader Exam Sample Questions (Q17-Q22):
NEW QUESTION # 17
A company has a machine learning project that involves diverse data types like streaming data and structured databases. How does Google Cloud support data gathering for this project?
- A. Google Cloud relies on Vertex AI to connect to external data.
- B. Google Cloud's strengths are in the data analysis tools such as BigQuery.
- C. Google Cloud provides tools such as Pub/Sub, Cloud Storage, and Cloud SQL.
- D. The Gemini app is the primary Google Cloud tool for directly collecting data.
Answer: C
Explanation:
Google Cloud offers a comprehensive suite of services for data ingestion and storage. Pub/Sub is for streaming data, Cloud Storage for various file types (including unstructured), and Cloud SQL for relational structured databases. These are fundamental for gathering diverse data. Gemini is a model, BigQuery is for analysis, and Vertex AI is for ML platform, not primary data collection tools themselves.
________________________________________
NEW QUESTION # 18
A security team needs a centralized platform to gain a comprehensive overview of their organization's security health across their entire Google Cloud environment, including potential threats to their generative AI deployments. Which Google Cloud security offering is specifically for this purpose?
- A. Workload monitoring tools
- B. Secure-by-design infrastructure
- C. Identity and Access Management
- D. Security Command Center
Answer: D
Explanation:
Security Command Center is Google Cloud's comprehensive security management and data risk platform. It provides centralized visibility into security posture, identifies vulnerabilities, detects threats, and helps manage compliance across the entire Google Cloud environment, includingservices and deployments like generative AI.
________________________________________
NEW QUESTION # 19
A company wants to choose a generative AI (gen AI) use case that will be successful and have the most impact. What key factor should they determine first according to Google Cloud-recommended practices?
- A. The number of employees who will be trained to use the new gen AI tools.
- B. The specific business problems the company aims to solve and the desired outcomes.
- C. The frequency of updates to the underlying foundation models used by different gen AI platforms.
- D. The availability of pre-trained models that are offered on various cloud computing platforms.
Answer: B
Explanation:
A fundamental principle for successful AI adoption, including generative AI, is to start with clear business problems and desired outcomes. Without a well-defined problem, the AI solution might not deliver meaningful value, regardless of the technology used. This "problem-first" approach is crucial for impactful AI strategy.
________________________________________
NEW QUESTION # 20
A global news agency is developing a generative AI tool to quickly summarize breaking newsarticles as they emerge online. The goal is to provide their audience with rapid updates on fast-developing stories from various global sources. What Google Cloud solution should they use?
- A. BigQuery
- B. Document AI
- C. Grounding with Google Search
- D. Vertex AI Natural Language API
Answer: C
Explanation:
For summarizing breaking news articles as they emerge online from various global sources, the generative AI model needs access to current, broad, and rapidly updating information. Grounding with Google Search allows the LLM to pull in the latest information from the web, ensuring the summaries are current and comprehensive. While Vertex AI Natural Language API can summarize text, it wouldn't inherently have access to the latest breaking news unless explicitly fed.
________________________________________
NEW QUESTION # 21
A highly regulated financial institution wants to use Gemini as the core decision engine for a loan approval system that will deterministically approve or reject loan applications based on a strict set of predefined criteria. Why is this an inappropriate use case for Gemini?
- A. Gemini deployment for this scenario would be too expensive and complex.
- B. Gemini is not equipped to handle structured numerical data for financial assessments.
- C. Gemini cannot integrate with required financial databases.
- D. Gemini is designed for flexible content generation and inference, not rigid rule-based decisions.
Answer: D
Explanation:
Gemini, as a large language model, excels at flexible content generation, summarization, understanding, and inference. However, it is not designed for deterministic, rule-based decision-making that requires absolute consistency and adherence to strict, predefined criteria, as is common in highly regulated financial systems like loan approvals. Such systems typically require traditional programming logic or specific rule engines for auditable and consistent outcomes.
________________________________________
NEW QUESTION # 22
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The second format of Google Cloud Certified - Generative AI Leader Exam (Generative-AI-Leader) is the web-based practice exam that can be taken online through browsers like Firefox, Chrome, Safari, MS Edge, Internet Explorer, and Microsoft Edge. You don't need to install any excessive plugins or Software to attempt the web-based Practice Generative-AI-Leader Exam. All operating systems also support the web-based practice exam.
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