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Workday Workday-Prism-Analytics過去問無料、Workday-Prism-Analyticsクラムメディア

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Workday Workday-Prism-Analytics過去問無料、Workday-Prism-Analyticsクラムメディア

Posted at yesterday 22:52      View：6 | Replies：0        Print      Only Author   [Copy Link] 1#
P.S. It-PassportsがGoogle Driveで共有している無料かつ新しいWorkday-Prism-Analyticsダンプ：https://drive.google.com/open?id=1wfBQGGKPRlsVmmy1ON50ygX_mKMpAkvN
どんな業界で自分に良い昇進機会があると希望する職人がとても多いと思って、IT業界にも例外ではありません。ITの専門者はWorkdayのWorkday-Prism-Analytics認定試験があなたの願望を助けって実現できるのがよく分かります。It-Passportsはあなたの夢に実現させるサイトでございます。
It-PassportsのWorkday-Prism-Analytics問題集というものをきっと聞いたことがあるでしょう。でも、利用したことがありますか。「It-PassportsのWorkday-Prism-Analytics問題集は本当に良い教材です。おかげで試験に合格しました。」という声がよく聞こえています。It-Passportsは問題集を利用したことがある多くの人々からいろいろな好評を得ました。それはIt-Passportsはたしかに受験生の皆さんを大量な時間を節約させ、順調に試験に合格させることができますから。
Workday-Prism-Analyticsクラムメディア & Workday-Prism-Analytics技術内容私たちの会社は、コンテンツだけでなくディスプレイ上でも、Workday-Prism-Analytics試験材料の設計に最新の技術を採用しています。激しく変化する世界に対応し、私たちのWorkday-Prism-Analytics試験資料のガイドで、あなたの長所を発揮することができます。 また、あなたも私たちのWorkday-Prism-Analytics試験資料を使って、個人的に重要な知識を集約し、自分の需要によって、Workday-Prism-Analytics試験のために様々な勉強方法を選ぶことができます。
Workday Pro Prism Analytics Exam 認定 Workday-Prism-Analytics 試験問題 (Q50-Q55):質問 # 50
You are adding a Join stage and choose Join type of Left Outer Join, causing Workday to search for a matching row in the imported pipeline. What happens if no matching rows exist?
  • A. Included fields from both pipelines will have NULL values.
  • B. Included fields from the imported pipeline will have NULL values.
  • C. A duplicate row will be generated.
  • D. The row will be omitted.
正解：B
解説：
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, a Left Outer Join in a Join stage includes all rows from the primary pipeline (the left pipeline) and attempts to match them with rows from the imported pipeline (the right pipeline) based on the join condition. According to the official Workday Prism Analytics study path documents, if no matching rows exist in the imported pipeline for a given row in the primary pipeline, the row from the primary pipeline is still included in the output, but the fields from the imported pipeline will have NULL values. This behavior ensures that all data from the primary pipeline is retained, while the absence of a match in the imported pipeline is represented by NULLs for the corresponding fields.
The other options are incorrect:
* A. A duplicate row will be generated: A Left Outer Join does not generate duplicate rows; duplicates would occur only if multiple matches exist in the imported pipeline, which is not the case here.
* B. The row will be omitted: In a Left Outer Join, rows from the primary pipeline are never omitted, even if no match is found; this behavior is specific to an Inner Join.
* D. Included fields from both pipelines will have NULL values: Only the fields from the imported pipeline will have NULL values; the fields from the primary pipeline retain their original values.
This behavior of Left Outer Join ensures that all records from the primary pipeline are preserved, with NULLs indicating the absence of matching data from the imported pipeline.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Join Types and Their Behaviors in Prism Analytics Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Configuring Join Stages in Derived Datasets

質問 # 51
What window function returns the number of rows within a window?
  • A. MAX
  • B. SUM
  • C. COUNT
  • D. AVG
正解：C
解説：
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, window functions are used to perform calculations over a defined set of rows (a
"window"). According to the official Workday Prism Analytics study path documents, the COUNT window function is used to return the number of rows within a specified window. When applied in a dataset transformation, the COUNT function counts the rows that fall within the window, which can be defined by partitioning (e.g., by a specific column) and ordering criteria. For example, COUNT(*) OVER (PARTITION BY department) would return the number of rows for each department in the dataset.
The other options serve different purposes:
A: MAX: Returns the maximum value within the window, not the number of rows.
B: SUM: Calculates the sum of a numeric field across the window, not the row count.
D: AVG: Computes the average of a numeric field within the window, not the row count.
The COUNT function is specifically designed to provide the row count, making it the correct choice for this purpose in Prism Analytics transformations.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Window Functions and Their Applications Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Using COUNT in Window Functions

質問 # 52
You had to change the imported pipeline in a Join stage and your View Dataset Lineage report shows a Stage Alert regarding the disconnected pipeline. How can you fix this and make the alert disappear?
  • A. Add a Manage Fields stage and re-attach the pipeline.
  • B. Change the imported pipeline to a different one.
  • C. Delete the disconnected pipeline.
  • D. Publish the derived dataset.
正解：C
解説：
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, a Stage Alert in the View Dataset Lineage report indicates an issue with the dataset's transformation pipeline, such as a disconnected pipeline resulting from changing the imported pipeline in a Join stage. According to the official Workday Prism Analytics study path documents, a disconnected pipeline occurs when a pipeline (e.g., a table or dataset) is no longer referenced by any transformation stage, often after modifying the Join stage to use a different imported pipeline. To resolve this alert, the recommended action is to delete the disconnected pipeline (option D). By removing the disconnected pipeline from the dataset, the lineage is updated to reflect only the active pipelines, and the Stage Alert will disappear, indicating that the dataset's configuration is now valid.
The other options are not appropriate:
* A. Add a Manage Fields stage and re-attach the pipeline: A Manage Fields stage modifies field properties and cannot re-attach a disconnected pipeline to the Join stage.
* B. Publish the derived dataset: Publishing the dataset does not resolve the issue of a disconnected pipeline; the alert will persist until the pipeline is addressed.
* C. Change the imported pipeline to a different one: This does not address the disconnected pipeline; it only changes the Join stage's configuration again, potentially causing further issues.
Deleting the disconnected pipeline ensures the dataset's lineage is clean and free of errors, resolving the Stage Alert in the View Dataset Lineage report.
References:
Workday Prism Analytics Study Path Documents, Section: Datasets and Data Sources, Topic:
Troubleshooting Stage Alerts in Dataset Lineage
Workday Prism Analytics Training Guide, Module: Datasets and Data Sources, Subtopic: Managing Pipeline Connections in Derived Datasets

質問 # 53
What is a feature of using an sFTP connection on a data change task?
  • A. You can reuse an sFTP connection in multiple data change tasks.
  • B. You can import an XLSX file from an sFTP server.
  • C. You can copy sFTP connections.
  • D. You can select multiple target tables in the data change task.
正解：A
解説：
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, a secure File Transfer Protocol (sFTP) connection can be configured as a source for a Data Change task to import data into a table. According to the official Workday Prism Analytics study path documents, a key feature of using an sFTP connection is that it can be reused across multiple Data Change tasks. Once an sFTP connection is defined in the Prism Analytics environment, it is stored and can be selected as the source connection for different Data Change tasks, promoting efficiency and consistency in data ingestion workflows. This reusability reduces the need to redefine connection parameters for each task, streamlining the configuration process.
The other options are not accurate:
* A. You can copy sFTP connections: While connections can be managed, there is no specific feature in Prism Analytics to "copy" sFTP connections as a distinct action.
* C. You can import an XLSX file from an sFTP server: While sFTP connections support various file formats (e.g., CSV), the ability to import XLSX files is not guaranteed and depends on the system's configuration, making this option less definitive.
* D. You can select multiple target tables in the data change task: A Data Change task is designed to load data into a single target table, not multiple tables simultaneously, regardless of the connection type.
The ability to reuse an sFTP connection across multiple Data Change tasks is a core feature that enhances the flexibility and scalability of data import processes in Prism Analytics.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Configuring Data Change Tasks with sFTP Connections Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Managing Source Connections for Data Ingestion

質問 # 54
You apply an Explode stage to your derived dataset that contains information on your worker benefit elections. What happens in the resulting stage?
  • A. The number of columns stays the same and the original multi-instance field doesn't get dropped.
  • B. The number of rows exponentially increases and the original multi-instance field gets dropped.
  • C. The number of rows stays the same and the original multi-instance field does not get dropped.
  • D. The number of columns exponentially increases and the original multi-instance field gets dropped.
正解：B
解説：
Comprehensive and Detailed Explanation From Exact Extract:
In Workday Prism Analytics, an Explode stage is used to transform a multi-instance field into multiple rows, creating a single-instance field for each instance. According to the official Workday Prism Analyticsstudy path documents, when an Explode stage is applied to a derived dataset containing worker benefit elections (a multi-instance field, e.g., a list of elected benefits per worker), the following occurs: the number of rows exponentially increases, and the original multi-instance field gets dropped (option D).
For example, if a worker has three benefit elections in a multi-instance field, the Explode stage will create three rows-one for each election-while the original multi-instance field (e.g., "Benefit Elections") is replaced by a single-instance field containing one election per row. The number of rows increases based on the number of instances in the multi-instance field (e.g., a dataset with 100 workers, each with 3 elections on average, would grow from 100 rows to 300 rows). The term "exponentially" in the question reflects this potential for significant row growth, though the increase is technically linear per record based on the number of instances.
The other options are incorrect:
* A. The number of columns stays the same and the original multi-instance field doesn't get dropped: The original multi-instance field is dropped and replaced by a single-instance field; the column count may change slightly due to this replacement.
* B. The number of columns exponentially increases and the original multi-instance field gets dropped:
The Explode stage does not increase the number of columns exponentially; it primarily affects rows, with minimal impact on columns.
* C. The number of rows stays the same and the original multi-instance field does not get dropped: The number of rows increases due to the explosion of multi-instance data, and the original field is dropped.
The Explode stage's behavior of increasing rows and dropping the original multi-instance field aligns with its purpose of normalizing multi-instance data into a row-based structure.
References:
Workday Prism Analytics Study Path Documents, Section: Data Prep and Transformation, Topic: Using the Explode Stage in Derived Datasets Workday Prism Analytics Training Guide, Module: Data Prep and Transformation, Subtopic: Handling Multi- Instance Fields with Explode Stages

質問 # 55
......
Workday-Prism-Analytics認定試験はたいへん難しい試験ですね。しかし、難しい試験といっても、試験を申し込んで受験する人が多くいます。なぜかと言うと、もちろんWorkday-Prism-Analytics認定試験がとても大切な試験ですから。IT職員の皆さんにとって、この試験のWorkday-Prism-Analytics認証資格を持っていないならちょっと大変ですね。この認証資格はあなたの仕事にたくさんのメリットを与えられ、あなたの昇進にも助けになることができます。とにかく、これは皆さんのキャリアに大きな影響をもたらせる試験です。こんなに重要な試験ですから、あなたも受験したいでしょう。
Workday-Prism-Analyticsクラムメディア: https://www.it-passports.com/Workday-Prism-Analytics.html
It-PassportsのWorkdayのWorkday-Prism-Analytics「Workday Pro Prism Analytics Exam」試験トレーニング資料はあなたがリスクフリー購入することを保証します、別の試験問題集より、弊社のWorkday-Prism-Analytics学習ガイド資料を購入したお客様は一年間の無料更新サービスを楽しみます、Workday Workday-Prism-Analytics過去問無料 これは完全に実際の試験雰囲気とフォーマットをシミュレートするソフトウェアですから、It-PassportsのWorkdayのWorkday-Prism-Analytics勉強資料は問題と解答を含めています、我々豊富な経験があるグループはあなたに一番信頼できるWorkdayのWorkday-Prism-Analytics試験のための資料を提供いたします、Workday Workday-Prism-Analytics過去問無料 弊社の商品はあなたの圧力を減少できます。
けれど、でも、これは後から聞いた話だが、祖父はどんなに認知症が進んでも決して診療所の事は忘れずに、朝起きると必ず診療所に行こうとしていたそうだ、It-PassportsのWorkdayのWorkday-Prism-Analytics「Workday Pro Prism Analytics Exam」試験トレーニング資料はあなたがリスクフリー購入することを保証します。
実用的なWorkday-Prism-Analytics｜高品質なWorkday-Prism-Analytics過去問無料試験｜試験の準備方法Workday Pro Prism Analytics Examクラムメディア別の試験問題集より、弊社のWorkday-Prism-Analytics学習ガイド資料を購入したお客様は一年間の無料更新サービスを楽しみます、これは完全に実際の試験雰囲気とフォーマットをシミュレートするソフトウェアですから、It-PassportsのWorkdayのWorkday-Prism-Analytics勉強資料は問題と解答を含めています。
我々豊富な経験があるグループはあなたに一番信頼できるWorkdayのWorkday-Prism-Analytics試験のための資料を提供いたします。
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