C_PAII10_35日本語版 資格取得

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C_PAII10_35 PDF DEMO:

QUESTION NO: 1
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. 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.
B. 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.
C. If you have access to HANA logs, you will be able to see the full APL exception details and can investigate further.
D. 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)
Answer: B,C

QUESTION NO: 2
The Decision Tree Each node in the tree displays:
Note: There are 4 correct answers to this question.
A. The categories on which the node population has been filtered, for example
{Married-AFspouse;Never- married}
B. The Population of the node
C. The name of the expanded variable, for example Marital-status.
D. The Usage entries are sparser and report a more global view of the activity on the server. They consist of one line per event on the following events: user connection, user disconnection, training a model, applying a model, saving a model.
E. The ratio of Positive Target (for nominal targets) or the Target Mean (for continuous targets)
Answer: A,B,C,E

QUESTION NO: 3
The term model carries many different meanings depending on its field of application. In data mining, a model describes and explains the relationships that exist between input data (one or more target variablest allows one to predict and explain phenomena, or to describe them. To quote George
E.P. Box,
"All Models Are Wrong But Some Are Useful" from "Robustness is the Strategy of Scientific Model
Building" in Robustness in Statistics. Eds., R.L. Launer and G.N. Wilkinson, 1979, Academic Press. A model that has satisfactory performance is one that possesses both:
Note: There are 2 correct answers to this question.
A. High explanatory power, that is, sufficient capacity to explain the target variable. This explanatory power is indicated by the predictive power of the model.
B. Both of these ports must be accessible from the client machine. For example, network firewalls should allow communication on these ports between client machine and the servers.
C. High robustness, that is, sufficient capacity to repeat the same performance on new datasets containing observations of a similar nature to the training dataset. This explanatory power is indicated by the prediction confidence .
Answer: A,C

QUESTION NO: 4
In data mining, there are two types of models:
Note: There are 2 correct answers to this question.
A. The client application must be able to access both the name
server and the SAP Predictive Analytics server.
B. Predictive and explanatory models, which allow one to predict
and explain phenomena,
C. Descriptive models, which allow one to describe datasets.
D. The SAP Predictive Analytics server must be able to access
the name server.
Answer: B,C

QUESTION NO: 5
A model may be represented in many different ways,
including:
Note: There are 3 correct answers to this question.
A. a decision tree,
B. a neural network,
C. a Certification Authority certificate (CA certificate)
D. a mathematical function.
Answer: A,B,D

Cisco 500-420 - 我々は心からあなたが首尾よく試験に合格することを願っています。 もし君はまだ心配することがあったら、私たちのSAPのMicrosoft AI-102J問題集を購入する前に、一部分のフリーな試験問題と解答をダンロードして、試用してみることができます。 SAPのTableau TDA-C01認定試験は実は技術専門家を認証する試験です。 長年の努力を通じて、NewValidDumpsのSAPのCompTIA N10-008認定試験の合格率が100パーセントになっていました。 Oracle 1z0-071-JPN - 」とゴーリキーは述べました。

Updated: May 28, 2022

C_PAII10_35 日本語版 & SAP Certified Application Associate SAP Predictive Analytics 復習解答例

PDF問題と解答

試験コード:C_PAII10_35
試験名称:SAP Certified Application Associate - SAP Predictive Analytics
最近更新時間:2024-05-05
問題と解答:全 80
SAP C_PAII10_35 資格取得講座

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模擬試験

試験コード:C_PAII10_35
試験名称:SAP Certified Application Associate - SAP Predictive Analytics
最近更新時間:2024-05-05
問題と解答:全 80
SAP C_PAII10_35 日本語版復習指南

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オンライン版

試験コード:C_PAII10_35
試験名称:SAP Certified Application Associate - SAP Predictive Analytics
最近更新時間:2024-05-05
問題と解答:全 80
SAP C_PAII10_35 合格記

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C_PAII10_35 関連受験参考書

C_PAII10_35 ダウンロード 関連認定