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最新のWorkday-Prism-Analytics最新対策問題 &合格スムーズWorkday-Prism-Analytics模試エンジン |一番優秀なWorkday-Prism-Analytics試験解説Workday Pro Prism Analytics Exam
ずっと自分自身を向上させたいあなたは、Workday-Prism-Analytics認定試験を受験する予定があるのですか。もし受験したいなら、試験の準備をどのようにするつもりですか。もしかして、自分に相応しい試験参考書を見つけたのでしょうか。では、どんな参考書は選べる価値を持っていますか。あなたが選んだのは、JpexamのWorkday-Prism-Analytics問題集ですか。もしそうだったら、もう試験に合格できないなどのことを心配する必要がないのです。
現在、どの領域にでも勉強して努力する必要があります。IT業界でも同じです。Workdayに関する仕事をしている人たちはさまざまな認証試験に参加して自分の知識を補充し、よく働く必要があります。Workday-Prism-Analytics試験に合格するのはあなたの能力を証明して、質素を高めることができます。
>> Workday-Prism-Analytics最新対策問題 <<
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私たちが提供するWorkday Pro Prism Analytics Exam準備トレントは、精巧にコンパイルされ、非常に効率的です。 Workday-Prism-Analytics試験トレントを練習するのに20〜30時間しかかからず、試験に参加できます。仕事などで忙しいほとんどのお客様。ただし、Workday-Prism-Analyticsテスト準備を使用する場合、短時間で試験を準備して試験内容をマスターするのにそれほど時間は必要ありません。彼らがする必要があるのは、毎日学習して練習するのに1〜2時間を費やし、Workday-Prism-Analyticsテスト準備で簡単に試験に合格することです。試験に合格するための時間と労力はほとんどかかりません。
Workday Pro Prism Analytics Exam 認定 Workday-Prism-Analytics 試験問題 (Q41-Q46):
質問 # 41
A Prism data administrator combined data from multiple sources down to a final derived dataset, including current worker data. There is a new requirement to append historical worker data to the dataset in a uniform layout. The historical worker data includes some, but not all, fields that align withthe current worker data.
Using current worker data as the primary pipeline, how can the historical worker data points be brought in?
- A. Add a Join stage with an Inner Join.
- B. Add a Join stage with a Right Outer Join.
- C. Add a Union stage.
- D. Add a Join stage with a Left Outer Join.
正解:C
解説:
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, when the goal is to append data from one dataset to another in a uniform layout, such as combining current worker data with historical worker data, a Union stage is the appropriate transformation. According to the official Workday Prism Analytics study path documents, a Union stage is used to append rows from one pipeline to another, stacking the data vertically while aligning fields based on their names and types. In this scenario, the current worker data (primary pipeline) and historical worker data (secondary pipeline) share some fields, and a Union stage will combine the rows from both datasets into a single dataset. Fields that exist in one pipeline but not the other will have NULL values for the rows where they are not present, ensuring a uniform layout without losing data.
The other options are not suitable for this requirement:
* A. Add a Join stage with a Right Outer Join: A Right Outer Join would include all rows from the historical worker data and only matching rows from the current worker data, which does not align with the goal of appending all data in a uniform layout.
* C. Add a Join stage with a Left Outer Join: A Left Outer Join would include all rows from the current worker data and matching rows from the historical worker data, but this is not an append operation; it's a matching operation based on a join condition, which isn't specified here.
* D. Add a Join stage with an Inner Join: An Inner Join would only include rows where matches exist between the two datasets, potentially excluding non-matching historical or current worker data, which does not meet the requirement to append all data.
The Union stage is the correct approach to append historical worker data to the current worker data, ensuring all rows are included in a uniform layout, with NULLs filling in for missing fields.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Using Union Stages to Append Data in Prism Analytics Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Combining Datasets with Union Operations
質問 # 42
While viewing your lineage, you realize you have forgotten to add a description to some of your derived datasets. From the lineage, you double-click on a dataset to view the dataset details. What is the next step to add the missing descriptions?
- A. Select Related Actions next to the dataset name and Edit Transformations.
- B. Select the pencil icon next to the Import stage to update the description.
- C. Select Add Field from the dataset details to create a description.
- D. Select the pencil icon next to the dataset name and Edit Transformations.
正解:A
解説:
To add or update the description of a derived dataset in Workday Prism Analytics, you should access the Edit Dataset Transformations task. This can be done by selecting the Related Actions next to the dataset name and choosing Edit Transformations. This method allows you to modify various aspects of the dataset, including its description.
This process is outlined in the Workday Prism Analytics User Guide, which states:
"If you have permission to edit a dataset, you can access the Edit Dataset Transformations task using these methods:
* Right-click the dataset name on the Data Catalog report and select Edit Transformations.
* Select Edit Transformations from the Quick Actions on the View Dataset Details report.
* Access the Edit Dataset task and select the dataset name that you want to edit." Once in the Edit Dataset Transformations task, you can update the dataset's description by clicking on the configuration icon (often represented as a gear or pencil icon) and editing the description field.
Reference: Workday Prism Analytics User Guide, "Concept: Dataset Workspace" section
質問 # 43
You are a new Prism customer and you want to ensure the correct set of fields is brought into a derived dataset. When should you apply a Manage Fields stage?
- A. At the end of the Primary Pipeline of a published dataset.
- B. At the beginning of the primary pipeline of the Base Dataset.
- C. At the beginning of the Primary Pipeline of the derived dataset.
- D. After the dataset is published.
正解:C
解説:
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, a Manage Fields stage is used to control the fields in a dataset by renaming, hiding, or changing field types, among other actions. According to the official Workday Prism Analytics study path documents, to ensure the correct set of fields is brought into a derived dataset (DDS), the Manage Fields stage should be applied at the beginning of the Primary Pipeline of the derived dataset (option C).
Placing the Manage Fields stage early in the pipeline-right after the initial import stage (Stage 1)-allows you to define the field structure upfront, ensuring that subsequent transformationstages (e.g., Join, Filter, Calculate Field) operate on the desired set of fields. This approach helps maintain consistency and avoids unnecessary processing of fields that are not needed in later stages.
The other options are not optimal:
* A. After the dataset is published: You cannot add transformation stages like Manage Fields after a dataset is published; transformations must be applied during the dataset's creation or editing.
* B. At the end of the Primary Pipeline of a published dataset: Similar to option A, you cannot modify a published dataset's pipeline, and placing Manage Fields at the end would not prevent unnecessary fields from being processed in earlier stages.
* D. At the beginning of the primary pipeline of the Base Dataset: A Base Dataset does not have a transformation pipeline; it is a direct import of a table, so Manage Fields stages can only be applied in a Derived Dataset.
Applying the Manage Fields stage at the beginning of the derived dataset's Primary Pipeline ensures efficient data preparation and transformation.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Using Manage Fields in Derived Datasets Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Best Practices for Field Management in Pipelines
質問 # 44
A Prism data administrator is ready to create a Prism data source. As data is updated in Prism, the goal is to update the data in the Prism data source concurrently, enabling immediate incremental updates. How should the administrator create the Prism data source?
- A. Publish a derived dataset with the Prism: Default to Dataset Access Domain.
- B. Create a table and select the Enable for Analysis checkbox.
- C. Create a table and select Publish.
- D. Set Data Source Security on a derived dataset and select Publish.
正解:B
解説:
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, creating a Prism data source that supports immediate incremental updates as data is updated in Prism requires a specific configuration. According to the official Workday Prism Analytics study path documents, the administrator should create a table and select the Enable for Analysis checkbox (option A). The "Enable for Analysis" option, when selected during table creation, allows the table to be used directly as a Prism data source with real-time updates. This setting ensures that as data in the table is updated (e.g., through a Data Change task), the changes are immediately reflected in the Prism data source, enabling incremental updates without the need for republishing. This is particularly useful for scenarios requiring near- real-time data availability in reporting or analytics.
The other options do not achieve the goal of immediate incremental updates:
* B. Create a table and select Publish: Publishing a table creates a static Prism data source, but updates to the table require republishing, which does not support immediate incremental updates.
* C. Publish a derived dataset with the Prism: Default to Dataset Access Domain: Publishing a derived dataset creates a data source, but updates to the underlying data require republishing the dataset, which is not concurrent or incremental.
* D. Set Data Source Security on a derived dataset and select Publish: Setting security and publishing a derived dataset follows the same process as option C, requiring republishing for updates, which does not meet the requirement for immediate updates.
Selecting the "Enable for Analysis" checkbox when creating a table ensures the Prism data source supports concurrent, incremental updates as data changes in Prism.
References:
Workday Prism Analytics Study Path Documents, Section: Publishing and Visualizing Data, Topic: Creating Prism Data Sources with Real-Time Updates Workday Prism Analytics Training Guide, Module: Publishing and Visualizing Data, Subtopic: Configuring Tables for Incremental Updates
質問 # 45
You want your derived dataset to only show rows that meet the following criteria: Agent ID is not null AND Location is Dallas OR Location is Montreal. How can you achieve this?
- A. By adding a Manage Fields stage.
- B. By using Simple Filter conditions.
- C. By creating a Custom Example.
- D. By using Advanced Filter conditions.
正解:D
解説:
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, filtering a derived dataset to meet specific criteria involving multiple conditions with mixed logical operators (AND, OR) requires careful configuration. The criteria here are: Agent ID is not null AND (Location is Dallas OR Location is Montreal). According to the official Workday Prism Analytics study path documents, this can be achieved by using Advanced Filter conditions (option C).
A Simple Filter in Prism Analytics allows for basic conditions with a single operator ("If All" for AND, "If Any" for OR), but it cannot handle nested logic like AND combined with OR in a single filter. For example, a Simple Filter with "If All" would require all conditions to be true (Agent ID is not null AND Location is Dallas AND Location is Montreal), which is too restrictive. A Simple Filter with "If Any" would include rows where any condition is true (Agent ID is not null OR Location is Dallas OR Location is Montreal), which is too broad. The Advanced Filter, however, allows for complex expressions with nested logic, such as ISNOTNULL(Agent_ID) AND (Location = "Dallas" OR Location = "Montreal"), ensuring the correct rows are included.
The other options are incorrect:
* A. By adding a Manage Fields stage: The Manage Fields stage modifies field properties (e.g., type, visibility) but does not filter rows based on conditions.
* B. By using Simple Filter conditions: As explained, a Simple Filter cannot handle the combination of AND and OR logic required for this criteria.
* D. By creating a Custom Example: Custom Examples are used to provide sample data for testing, not to filter rows in a dataset.
Using Advanced Filter conditions allows for the precise application of the required logic to filter the dataset accurately.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Filtering Data in Derived Datasets Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Using Advanced Filters for Complex Conditions
質問 # 46
......
IT業界で仕事している皆さんはIT認定試験の資格の重要性をよく知っていているでしょう。IT認定試験には多くの種類があります。現在最も人気がある試験もいろいろあります。例えばWorkday-Prism-Analytics認定試験などです。その中の試験、どちらを受験しましたか。もし一つの認証資格を持っていないなら、IT認定試験を申し込んで試験の資格を取得する必要があります。試験を受ける予定があれば、急いでJpexamへ来て必要な情報を見つけましょう。JpexamはあなたがWorkday-Prism-Analytics認定試験に合格する保障ですから。
Workday-Prism-Analytics模試エンジン: https://www.jpexam.com/Workday-Prism-Analytics_exam.html
WorkdayのWorkday-Prism-Analyticsの認定試験は君の実力を考察するテストでございます、Workday-Prism-Analytics学習教材のシステムはスムーズで、インストールすることも簡単です、我々のWorkday-Prism-Analytics模試エンジン - Workday Pro Prism Analytics Exam試験勉強資料をwindowsシステムのみにインストールします、私たちのWorkday-Prism-Analytics問題集は確かに三番目のタイプです、Workday Workday-Prism-Analytics最新対策問題 ユーザーはダウンロードしてインストールする必要はなく、デジタルデバイスにブラウザーがあれば必要です、Workday-Prism-AnalyticsのJpexam試験トレントを正常に支払った後、購入者は5〜10分でシステムから送信されたメールを受け取ります、興味がありましたら、弊社のWorkday-Prism-Analytics参考資料のサンプルをダウンロードして試してください。
そのことに思い当たった本多は、一線は踏み越えないだろうという展望に少し安堵する、リスにとって家族と言えたのは兄のザックだけであった、WorkdayのWorkday-Prism-Analyticsの認定試験は君の実力を考察するテストでございます。
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Workday-Prism-Analytics学習教材のシステムはスムーズで、インストールすることも簡単です、我々のWorkday Pro Prism Analytics Exam試験勉強資料をwindowsシステムのみにインストールします、私たちのWorkday-Prism-Analytics問題集は確かに三番目のタイプです、ユーザーはダウンロードしてインストールする必要はなく、デジタルデバイスにブラウザーがあれば必要です。
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