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Analytics-Con-301 Buch & Analytics-Con-301 Musterprüfungsfragen
Analytics-Con-301 ist eine Salesforce Zertifizierungsprüfung. So ist Analytics-Con-301 Zertifizierung der erste Schritt zur Salesforce Zertifizierung. Deswegen ist die Analytics-Con-301 Zertifizierungsprüfung kürzlich immer beliebter geworden. Immer mehr Leute haben sich an der Salesforce Analytics-Con-301 Zertifizierungsprüfung beteiligt. Aber die Erfolgsquote in der Prüfung ist nicht so hoch. Wählen Sie auch einschlägige Prüfungskurse, wenn Sie Analytics-Con-301 Prüfung ablegen möchten?
Salesforce Analytics-Con-301 Prüfungsplan:
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Analytics-Con-301 Musterprüfungsfragen - Analytics-Con-301 Fragen&Antworten
ITZert aktualisiert ständig die Prüfungsfragen und Antworten. Das bedeutet, dass Sie jederzeit die neuesten Schulungsmaterialien zur Analytics-Con-301 Prüfung bekommen können. Solange das Prüfungsziel geändert wird, ändern wir unsere Lernmaterialien entsprechend. Unser ITZert kennt die Bedürfnisse aller Kandidaten und hilft Ihnen mit dem günstigen Preis und guter Qualität, die Analytics-Con-301 Prüfung zu bestehen und das Zertifikat zu bekommen.
Salesforce Certified Tableau Consultant Analytics-Con-301 Prüfungsfragen mit Lösungen (Q45-Q50):
45. Frage
A client notices that several groups are sharing content across divisions and are not complying with their data governance strategy. During a Tableau Server audit, a consultant notices that the asset permissions for the client's top-level projects are set to "Locked," but that "Apply to Nested Projects" is not checked.
The consultant recommends checking "Apply to Nested Projects" to enforce compliance.
Which impact will the consultant's recommendation have on access to the existing nested projects?
- A. Access will be automatically rolled back to the top-level project permissions immediately.
- B. Current custom access will be maintained, but new custom permissions will not be granted.
- C. Users will be notified that they will automatically lose access to content after 30 days.
- D. Users will be prompted to manually update permissions for all nested projects.
Antwort: A
Begründung:
When "Apply to Nested Projects" is checked in Tableau Server, the permission rules set at the top-level project are enforced for all assets in the project and all nested projects. This means that any custom access previously granted to nested projects will be overridden, and the permissions will revert to those defined at the top-level project. This action ensures consistent application of the data governance strategy across all divisions.
References: The impact of checking "Apply to Nested Projects" is detailed in Tableau's official documentation, which explains how locked nested projects can be used to govern site content with greater flexibility and efficiency12.
46. Frage
A client wants guidance for Creators to build efficient extracts from large data sources.
What are three Tableau best practices that the Creators should use? Choose three.
- A. Hide all unused fields.
- B. Keep only the data required for analysis by using extract filters.
- C. Use only live connections as they are always faster than extracts.
- D. Use aggregate data for visible dimensions, whenever possible.
- E. Include all the data from the original data source in the extract.
Antwort: A,B,D
Begründung:
To build efficient extracts from large data sources, it is crucial to minimize the load and optimize the performance of the extracts:
A . Keep only the data required for analysis by using extract filters: This best practice involves using filters to reduce the volume of data extracted, thus focusing only on the data necessary for analysis.
B . Use aggregate data for visible dimensions, whenever possible: Aggregating data at the time of extraction reduces the granularity of the data, which can significantly improve performance and reduce the size of the extract.
E . Hide all unused fields: Removing fields that are not needed for analysis from the extract reduces the complexity and size of the data model, which in turn enhances performance and speeds up load times.
These practices are endorsed in Tableau's official documentation and training sessions as effective ways to enhance the performance of Tableau extracts and optimize dashboard responsiveness.
47. Frage
A company has a data source for sales transactions. The data source has the following characteristics:
. Millions of transactions occur weekly.
. The transactions are added nightly.
. Incorrect transactions are revised every week on Saturday.
* The end users need to see up-to-date data daily.
A consultant needs to publish a data source in Tableau Server to ensure that all the transactions in the data source are available.
What should the consultant do to create and publish the data?
- A. Publish a live connection to Tableau Server.
- B. Publish an incremental extract refresh every day and publish a secondary data set containing data revisions.
- C. Publish an incremental extract refresh every day and perform a full extract refresh every Saturday.
- D. Publish an incremental refresh every Saturday.
Antwort: C
Begründung:
Given the need for up-to-date data on a daily basis and weekly revisions, the best approach is to use an incremental extract refresh daily to update the data source with new transactions. On Saturdays, when incorrect transactions are revised, a full extract refresh should be performed to incorporate all revisions and ensure the data's accuracy. This strategy allows end users to have access to the most current data throughout the week while also accounting for any necessary corrections12.
References: The solution is based on best practices for managing data sources in Tableau Server, which recommend using incremental refreshes for frequent updates and full refreshes when significant changes or corrections are made to the data12.
48. Frage
For a new report, a consultant needs to build a data model with three different tables, including two that contain hierarchies of locations and products. The third table contains detailed warehousing data from all locations across six countries. The consultant uses Tableau Cloud and the size of the third table excludes using an extract.
What is the most performant approach to model the data for a live connection?
- A. Joining the tables in Tableau Desktop
- B. Joining the tables in Tableau Prep
- C. Blending the first two tables with the third
- D. Relating the tables in Tableau Desktop
Antwort: D
Begründung:
For a performant live connection in Tableau Cloud, especially when dealing with large datasets that preclude the use of extracts, relating the tables in Tableau Desktop is the recommended approach. This method allows for flexibility in how the data is queried and can improve performance by leveraging Tableau's relationships feature, which optimizes queries for the underlying database.
References: The best practices for live connections in Tableau Cloud suggest using relationships to manage complex data models efficiently1. Additionally, Tableau's documentation on connecting data sources recommends using relationships for better performance with live connections2.
49. Frage
A consultant migrated a data source to improve performance. The consultant wants to identify which workbooks need to be updated to point to the new data source.
Which Tableau tool should the consultant use?
- A. Data Management
- B. Activity Log
- C. Tableau Advanced Management
- D. Prep Conductor
Antwort: C
Begründung:
To identify which workbooks need to be updated to point to a new data source after a migration, a consultant should use Tableau Advanced Management. This component of Tableau provides comprehensive management capabilities including the ability to track workbook dependencies and data source usage across your entire Tableau environment. Using Tableau Advanced Management allows consultants to assess the impact of changes in the data source on connected workbooks and efficiently manage updates.
50. Frage
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