982 位客戶反饋 認證考試內容年年調整，2026 年的 C-PAII10-35 考試也不例外。KaoGuTi 持續追蹤 SAP Certified Application Associate - SAP Predictive Analytics 的考綱變化，80 道題目隨之更新，購買後還享有 365 天免費更新。
SAP C-PAII10-35 考試概覽:
| 認證廠商: | SAP |
|---|---|
| 考試名稱: | SAP 認證應用專員 - SAP Predictive Analytics |
| 考試代碼: | C-PAII10-35 |
| 考試形式: | 選擇題 |
| 相關認證: | SAP 認證應用專員 – SAP Analytics Cloud SAP 認證應用專員 – SAP Data Intelligence SAP 認證應用專員 – SAP Business Technology Platform |
| 考試費用: | 依地區而定（詳見 SAP 認證中心考試收費標準） |
| 及格分數: | 68% |
| 支援語言: | English |
| 考試時間: | 180 分鐘 |
| 實際考試題數: | 80 |
| 證照有效期限: | 於對應版本發行期間有效；可能依 SAP 更新或替換作調整 |
| 範例考題: |  |
| 考試方式: | 透過 SAP 認證中心舉行（可線上遠端監考或至考場應試，並於 SAP 訓練平台預約） |
| 必備條件: | 建議具備 Predictive Analytics 基礎知識以及 SAP Predictive Analytics 各項元件之基本認識。 |
| 官方大綱網址: | https://training.sap.com/certification/C_PAII10_35 |
SAP C-PAII10-35 考試大綱主題:
| 章節 | 權重 | 目標 |
|---|---|---|
| 使用 Automated Analytics 進行分群分析 | 8% - 12% | - 分群結果之解讀與分析 - 分群技術與應用方式 |
| Predictive Factory | 12% | - 模型部署與管理 - Predictive Factory 架構與組成元件 |
| 使用 Modeler 建立分類模型 | 12% | - 模型評估與應用 - 分類模型之建置 |
| Predictive Analytics 簡介 | 12% | - SAP Predictive Analytics 主要功能 - Predictive Analytics 基礎概念 |
| 使用 Modeler 處理時間序列 | 8% - 12% | - 時間序列模型之建立 - 預測結果分析 |
| Automated Analytics 基礎概念 | <8% | - Automated Analytics 核心功能 - 標準作業流程 |
| Automated Analytics 之資料科學基礎 | 8% - 12% | - 資料科學於 Predictive Analytics 中之角色 - 資料前處理作業 |
| Data Manager | <8% | - 排程作業與任務管理 - 資料處理與資料集建立 |
| 社群分析與推薦機制 | <8% | - 社群資料分析概念 - 推薦模型之運用 |
| 使用 Modeler 建立迴歸模型 | <8% | - 迴歸模型之開發 - 迴歸模型之驗證與應用 |
SAP Certified Application Associate - SAP Predictive Analytics 考試常見問題解答
C-PAII10-35 是由 SAP 推出的認證考試，正式名稱為「SAP 認證應用專員 - SAP Predictive Analytics」，通過後即可取得 SAP Certified Application Associate 認證。此認證屬於 專員級 等級，主要用來驗證考生在相關技術領域的專業能力，對求職與升遷都有實質幫助。與本考試相關的認證還包括 SAP 認證應用專員 – SAP Analytics Cloud、SAP 認證應用專員 – SAP Business Technology Platform、SAP 認證應用專員 – SAP Data Intelligence，可依個人職涯規劃逐步進修。若你正準備報考 C-PAII10-35，KaoGuTi 的練習題能幫助你更快掌握考試重點。
C-PAII10-35 考試的題量為 80 題，考試時間為 180 分鐘。在有限的作答時間內，每題能停留的時間其實不多，答題節奏的掌握格外重要。建議作答時不要在單一題目上糾結過久，遇到不確定的題目先標記起來，全部答完再回頭檢查。考前不妨使用 KaoGuTi 的模擬試題進行幾次限時練習，實際體驗在 180 分鐘 內完成作答的節奏感，正式上場時時間分配會更有把握。
C-PAII10-35 考試的及格分數為 68%，官方報名費為 依地區而定（詳見 SAP 認證中心考試收費標準）。需要留意的是，若未能一次通過，重考必須再次全額支付報名費，加上等待與重新準備的時間，成本其實不低。建議正式報名前，先以 KaoGuTi 的 80 道練習題完整自我檢測，確認答題表現穩定超過及格標準後再預約考試，避免不必要的重考支出。
建議具備 Predictive Analytics 基礎知識以及 SAP Predictive Analytics 各項元件之基本認識。 報考條件可能隨官方政策調整，建議報名前再到 SAP 官方考試頁面 確認最新規定，以免錯過任何變更。
可以。KaoGuTi 提供 C-PAII10-35 免費範例試題（Free PDF Demo），內容取自正式題庫，下載後即可實際檢視題目與答案解析的品質，滿意再購買。購買正式版後享有 365 天免費更新，題庫內容會隨考綱調整同步修訂；365 天到期後如需繼續更新，還可享有 50% 的續更折扣。
KaoGuTi 提供退款保證：購買後 60 天內參加 C-PAII10-35 對應考試而未通過，可申請全額退款。申請時需提交報名證明（准考證／enrollment slip）複印件與官方成績單（Score Report）PDF，並於考後 2 天內提出，我們會在 7 天內處理完成。請注意，購買後 3 天內即參加考試、已下載但未實際應考、免費資料與過期訂單均不適用退款保證，且考生姓名須與付款人姓名一致。若不想退款，也可以選擇免費更換為兩個等值考試資料，並保留原購產品的更新服務。
交付方面，付款完成後系統會在一分鐘內將產品下載連結寄至你的電子郵件信箱，可立即下載開始準備；若 2 小時內未收到，請聯絡客服協助處理。產品不限制安裝的電腦數量，桌機、筆電都能自由使用。
C-PAII10-35 考試大綱共分為 10 個主要領域，包括：
- Predictive Analytics 簡介（佔比 12%）
- Data Manager（佔比 <8%）
- Predictive Factory（佔比 12%）
完整的大綱內容與各領域細項，請參考本頁上方的考試大綱區塊，建議逐條對照自己的熟悉程度，安排複習的優先順序。
最新的 SAP Certified Application Associate C-PAII10-35 免費考試真題：
問題 #1
To Select a Profit Type ;
Note: There are 2 correct answers to this question.
A. On the screen Model Curves, beneath the plot, click the dropdown list associated with the Profit field.
The list of profit types appears.
B. Select a profit type. The corresponding profit curves appear.
C. The server port (by default: 12347 for the authenticated server).
問題 #2
Once the PAi application is installed correctly, the most common expected error to be encountered is that the system does not have succulent rows of data to successfully build a predictive model. For the PAi application to work correctly, you need a minimum number of rows of data to train your predictive model. The number of required rows will vary from scenario to scenario and is dependent on the model type and the data.
There are two main ways to handle this issue:
Note: There are 2 correct answers to this question.
A. You can verify the data via normal ABAP tools to see if succulent records are present. For example, by doing a data preview on the Predictive Scenario data source, taking into account any model version footer's, you can see how many records are returned.
B. Communication between the Predictive Factory server and clients uses HTTP. You can configure encrypted communication (HTTPS) using Secure Sockets Layer (SSL) or Transport Layer Security (TLS)
C. The Predictive Factory server contains a group of services handled by the Server Intelligence Agent (SIA). The services can be stopped and started with the Start and Stop Predictive Factory commands.
D. If you have access to HANA logs, you will be able to see the full APL exception details and can investigate further.
問題 #3
Understanding the Decision Tree Panel The panel Decision Tree is split into three parts:
Note: There are 3 correct answers to this question.
A. The decision tree itself, which is displayed in the upper section of the panel
B. A navigator allowing you to visualize what part of the tree you are studying is displayed in the right bottom part of the panel.\
C. A consequence of 1 is that this metric is resistant to outliers: when there are a few occurrences of the target with very high values with respect to the rest of the target value distributions, the notion of normal profit is not impacted.
D. Two tabs located in the left bottom part of the panel provide you with information on the nodes and with the profit curve corresponding to the current decision tree
問題 #4
The Periodic with testing at the end strategy distributes:
Note: There are 4 correct answers to this question.
A. The final 1/5 of the initial dataset is sent as a block of data to the testing sub-set.
B. One line of the first 4/5 of the initial dataset is distributed to the validation sub-set.
C. The name server and the server will be assigned a specific TCP port. By default, the startup scripts we use fix them, and they should probably set properly depending on the network strategy
D. Three lines of the first 4/5 of the initial dataset are distributed to the training subset.
E. If the entire 4/5 of the initial dataset is not yet distributed, distribution operations begin again at step 1. Otherwise, if the entire 4/5 of the initial dataset has been distributed, distribution operations go to step
問題 #5
There are three ways to define a variable structure:
Note: There are 3 correct answers to this question.
A. by first extracting the categories from the variable statistics,
then editing or validating the suggested structure.
B. if the user running SAP Predictive Analy
C. by building a new structure from scratch.
D. by importing the structure from an existing model.
問題與答案：
| 問題 #1 答案： A,B | 問題 #2 答案： A,D | 問題 #3 答案： A,B,D | 問題 #4 答案： A,B,D,E | 問題 #5 答案： A,D |
220.134.108.* -
我购买了这个考试指南,80%的问题与实际考试相同，然后我的C-PAII10-35就通過了。