UiPath UiPath-AAAv1 試験概要:
| 認定ベンダー: | UiPath |
| 試験名: | UiPath 認定プロフェッショナル Agentic Automation アソシエイト (UiAAA) |
| 試験番号: | UiPath-AAAv1 |
| 対応言語: | 英語 |
| 関連資格: | UiPath Certified Professional Agentic Automation Professional (UiPath-AAPv1) |
| 出題数: | 60 |
| 認定の有効期間: | 3年 |
| 受験料: | $150 USD |
| 合格点: | 70% |
| 試験形式: | 単一選択式, 複数選択式 |
| 試験時間: | 90 minutes |
| サンプル問題: | UiPath UiPath-AAAv1 サンプル問題 |
| 受験方法: | オンライン監督試験、または Pearson VUE による試験センターでの受験です。 |
| 前提条件: | Automation の概念、prompt engineering、および UiPath Studio Web と large language models への基礎的な理解が推奨されます。 |
| 公式シラバスのURL: | https://academy.uipath.com/certifications |
UiPath UiPath-AAAv1 試験シラバストピック:
| セクション | 目標 |
|---|---|
| トピック 1: Agent Blueprint Design | - インテリジェントエージェントの設計
|
| トピック 2: Agentic Evaluations | - 評価と最適化
|
| トピック 3: Prompt Engineering | - Prompt Design 技法
|
| トピック 4: Agentic AI と Automation の概念 | - Agentic Automation の基礎
|
| トピック 5: Agentic Discovery | - Automation の機会の特定
|
| トピック 6: Context Grounding と Escalations | - エンタープライズ対応のエージェント設計
|
UiPath Certified Professional Agentic Automation Associate (UiAAA) 認定 UiPath-AAAv1 試験問題：
1. Which similarity search function is leveraged when Context Grounding is used by UiPath Products like Agents?
A) Cosine similarity search
B) ReLu similarity search
C) Softmax similarity search
D) Sigmoid similarity search
2. Which similarity search function is leveraged when Context Grounding is used by UiPath Products like Agents?
A) Cosine similarity search
B) ReLu similarity search
C) Softmax similarity search
D) Sigmoid similarity search
3. Four draft system prompts are shown for an invoice-approval agent. Based on UiPath guidance for context, instruments, and output format constraints, which draft is the most robust choice?
A) You are an invoice-approval agent who deals only with supplier invoices and rejects any other request.
Extract invoice_ID from the email text.
When an invoice_ID is found, run the LookupInvoice tool to retrieve invoice amount and supplier name.
If the total # $10,000, escalate the case to Finance in Action Center, sending invoice_ID, amount, and supplier.
If the total > $10,000, approve the invoice.
Return a reply wrapped inside invoice_status: tags: use <approved> or <awaiting_review> as appropriate.
Follow a concise, professional tone and refuse tasks outside invoice approval.
B) You are an invoice-approval agent who deals only with supplier invoices and rejects any other request.
Extract {{invoice_ID}} from the email text.
When an {{invoice_ID}} is found, run the LookupInvoice tool to retrieve invoice amount and supplier name.
If the total # $10,000, escalate the case to Finance in Action Center, sending {{invoice_ID}}, amount, and supplier.
If the total > $10,000, approve the invoice.
Return a reply wrapped inside invoice_status: tags: use <approved> or <awaiting_review> as appropriate.
Follow a concise, professional tone and refuse tasks outside invoice approval.
C) You are an invoice approver. After processing, output exactly the following JSON template:
{ "id": "ABC-123", "status": "approved", "amount": 9999.9 }
Extract {{invoice_ID}} from the email text.
When an {{invoice_ID}} is found, run the LookupInvoice tool to retrieve invoice amount and supplier name.
If the total # $10,000, escalate the case to Finance in Action Center, sending {{invoice_ID}}, amount, and supplier.
If the total > $10,000, approve the invoice.
Populate the fields above with real data.
D) You are an invoice approver. After processing, output exactly the following JSON template:
{ "id": "ABC-123", "status": "approved", "amount": 9999.9 }
Extract the {{invoice_ID}} from the email text.
Use LookupInvoice to get the invoice amount and supplier name.
Escalate to Finance if amount # $10,000.
If amount > $10,000, approve the invoice.
Populate the fields above with real data.
4. When exploring agentic automation discovery, which dimension ensures the solution aligns with the responsibilities and challenges of the individuals involved?
A) Focusing solely on task dependencies while neglecting the daily pain points of individuals executing these tasks.
B) Defining the role or persona by considering the people performing the tasks and their needs, challenges, and responsibilities.
C) Assessing structured and unstructured knowledge contexts required for the tasks but excluding the personas performing these operations.
D) Mapping systems, applications, and tools without understanding how they interact with human roles.
5. When passing runtime data into an Agent, which approach ensures the input argument is actually available inside the user prompt at execution time?
A) Create the argument in Data Manager and reference it verbatim inside double curly braces, e.g.,
{{CUSTOMER_EMAIL}}, so the name matches exactly.
B) Simply mention the variable name in plain prose-the Agent will infer the value from the workflow without special syntax.
C) Declare the argument in the system prompt; any text surrounded by angle brackets (e.g.,
<CUSTOMER_EMAIL>) will be substituted automatically.
D) Use single braces like {CUSTOMER_EMAIL}, because the platform automatically normalizes the identifier.
質問と回答：
| 質問 # 1 正解： A | 質問 # 2 正解： A | 質問 # 3 正解： B | 質問 # 4 正解： B | 質問 # 5 正解： A |
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