C_SAC_2421復習問題集 & C_SAC_2421日本語版対応参考書

C_SAC_2421試験に合格して認定を取得すると、対処方法がわからない多くのハンディキャップが発生する可能性があるため、C_SAC_2421試験に合格して受験することは難しいと思われるかもしれません。認証。これらの問題を解決し、試験に簡単に合格できるようにするため、このようなC_SAC_2421試験急流を遵守しました。 C_SAC_2421試験問題集を購入した後悔がないことをお約束します。 C_SAC_2421試験問題の合格率は99％〜100％であり、必ず合格します。

SAP C_SAC_2421 認定試験の出題範囲：

トピック	出題範囲
トピック 1	Planning: SAP Analytics Cloud Data Analysts are expected to demonstrate proficiency in planning within the SAP Analytics Cloud environment. The exam evaluates the ability to create and manage planning models, including setting up dimensions, accounts, and versions. Candidates should be familiar with creating planning input forms and implementing planning processes.
トピック 2	Story Design: This section of the exam measures the skills of SAP Analytics Cloud Data Analysts and covers various aspects of story design in SAP Analytics Cloud. The exam assesses the knowledge of candidates who should be able to create effective and visually appealing stories to present data insights. This includes understanding different chart types, layout options, and interactive elements to enhance data visualization and user engagement.
トピック 3	Performance, troubleshooting, and security management: This domain covers critical aspects of maintaining and optimizing SAP Analytics Cloud environments. It assesses SAP Analytics Cloud Data Analysts' abilities in performance tuning, troubleshooting common issues, and implementing security measures.
トピック 4	Data modeling, analysis, and integration: This section focuses on the core analytical capabilities of SAP Analytics Cloud. SAP Analytics Cloud Data Analysts should demonstrate proficiency in creating and managing data models, performing advanced analysis, and integrating data from various sources. The exam assesses skills in creating calculated measures, applying filters, and using advanced analytical functions.
トピック 5	Connections and data preparation: This domain covers the essential skills of connecting to data sources and preparing data for analysis. SAP Analytics Cloud Data Analysts are expected to show competence in establishing connections to various data sources, including on-premise and cloud-based systems.

>> C_SAC_2421復習問題集 <<

SAP C_SAC_2421日本語版対応参考書、C_SAC_2421トレーニング

市場では、顧客の観点から判断するための未定の品質を備えたいくつかの実習用教材が市場に登場しています。間違ったC_SAC_2421練習教材を選択した場合、重大な間違いになります。彼らの行動は厳密に倫理的ではなく、あなたにとって無責任ではありません。進歩を遂げ、C_SAC_2421トレーニング資料の証明書を取得することは、当然のことながら、最新の最も正確な知識を指揮する最も専門的な専門家によるものです。それが、SAP Certified Associate - Data Analyst - SAP Analytics Cloud試験準備が市場の大部分を占める理由です。

SAP Certified Associate - Data Analyst - SAP Analytics Cloud 認定 C_SAC_2421 試験問題 (Q36-Q41):

質問 # 36
What must you use to transform data in a dataset using if/then/else logic?

A. Calculations editor
B. Formula bar
C. Custom expression editor
D. Transform bar

正解：C

解説：
To transform data in a dataset using if/then/else logic in SAP Analytics Cloud, you must use the Custom expression editor. This tool allows you to write complex logical conditions and perform conditional data transformations. The steps involved are:
Open the dataset you want to transform.
Navigate to the "Custom expression editor".
Write your if/then/else logic using the syntax supported by SAP Analytics Cloud. For example:
IF([Sales] > 1000, "High", "Low")
Apply the expression to the relevant column.
Validate and save your changes.
This approach allows for flexibility and precision in transforming your data based on specific conditions.
Reference:
SAP Help Portal: SAP Analytics Cloud
Official SAP Analytics Cloud Documentation

質問 # 37
In a data model, what can you use to further describe a dimension?

A. Variable
B. Property
C. Measure
D. Data action

正解：B

解説：
In a data model within SAP Analytics Cloud, Properties are used to further describe dimensions. Properties provide additional context or metadata for dimension members, such as descriptions, classifications, or other attributes that help to better understand and analyze the data within the dimension. This makes properties essential for detailed data analysis and reporting.
Reference:
SAP Analytics Cloud Help Documentation: Dimension Properties
SAP Analytics Cloud User Guide: Enhancing Dimensions with Properties

質問 # 38
You have a story based on an import model. The transaction data in the model's data source changes. How can you update the data in the model? Note: There are 2 correct answers to this question.

A. Allow model import
B. Schedule the import
C. Refresh the import job
D. Refresh the story

正解：B、D

解説：
To update the data in a model based on an import connection, two main approaches can be used:
Refresh the story: This action forces SAP Analytics Cloud to reload the data for the visualizations in a story, pulling in the most recent data available in the model. This is a manual process initiated by the user.
Schedule the import: This option allows users to set up a recurring data import schedule, ensuring the model is regularly updated with the latest data from the source system. This automated process helps maintain data freshness without manual intervention.
Both methods ensure that the story reflects the most current data, accommodating changes in the transaction data of the model's data source.

質問 # 39
What type of predictive scenario can write back to a planning model?

A. Value driver tree
B. Time series forecast
C. Classification
D. Regression

正解：B

解説：
In SAP Analytics Cloud, a Time Series Forecast predictive scenario can write back to a planning model. Time Series Forecasting leverages historical data to predict future values over a specified time horizon, using statistical or machine learning methods. This feature is particularly useful in planning and forecasting processes, where future values are predicted based on past trends and seasonality. The ability to write these forecasts back into a planning model allows for the integration of predictive insights into the planning process, enhancing decision-making and strategic planning.
Reference:
SAP Analytics Cloud Help Documentation: Predictive Scenarios and Planning SAP Analytics Cloud User Guide: Time Series Forecasting in Planning Models

質問 # 40
What are the available connection types in SAP Analytics Cloud? Note: There are 2 correct answers to this question.

A. On-premise
B. Import
C. Cloud
D. Live

正解：B、D

解説：
SAP Analytics Cloud supports two primary types of data connections: Live Data Connection and Import Data Connection. Live Data Connection establishes a direct link to the data source, allowing real-time data access without replicating the data into SAP Analytics Cloud. This is ideal for scenarios where up-to-the-minute data is crucial, and data volume is large. On the other hand, Import Data Connection involves copying data from the source into SAP Analytics Cloud, which is suitable for scenarios where data doesn't change frequently, or there's a need for data transformation and enrichment within SAP Analytics Cloud.
Reference:
SAP Analytics Cloud Help Documentation: Data Connections Overview
SAP Analytics Cloud User Guide: Live Data vs. Import Data Scenarios

質問 # 41
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