EXAM TCC-C01 OVERVIEWS | TCC-C01 TEST DUMPS FREE

Exam TCC-C01 Overviews | TCC-C01 Test Dumps Free

Exam TCC-C01 Overviews | TCC-C01 Test Dumps Free

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Tableau TCC-C01 Exam Syllabus Topics:

TopicDetails
Topic 1
  • Establish Governance and Support Published Content: This section measures the skills of Tableau-certified consultants related to governance strategies within Tableau environments. Candidates will map governance requirements, recommend content access strategies, design administrative views, and identify external errors affecting performance.
Topic 2
  • Design and Troubleshoot Calculations and Workbooks: This domain evaluates the ability to design advanced analytics and troubleshoot workbooks. Candidates will implement calculations, optimize performance, and plan interactivity for dashboards while resolving performance issues.
Topic 3
  • Plan and Prepare Data Connections: This section focuses on planning data transformation and preparing connections, targeting Tableau-certified consultants. Candidates will recommend data storage methods, design row-level security structures, and troubleshoot complex data connection issues.
Topic 4
  • Evaluate Current State: This domain measures the skills of Tableau-certified consultants in assessing the current analytics landscape. Candidates will evaluate existing reports and data structures to ensure alignment with business needs and recommend appropriate Tableau deployment options.

>> Exam TCC-C01 Overviews <<

2025 TCC-C01 – 100% Free Exam Overviews | Updated TCC-C01 Test Dumps Free

In today's highly competitive Tableau market, having the TCC-C01 certification is essential to propel your career forward. To earn the Tableau TCC-C01 certification, you must successfully pass the TCC-C01 Exam. However, preparing for the Tableau TCC-C01 exam can be challenging, with potential hurdles like exam anxiety and time constraints.

Tableau Certified Consultant Sample Questions (Q15-Q20):

NEW QUESTION # 15
A client is considering migrating from Tableau Server to Tableau Cloud.
Which two elements are determining factors of whether the client should use Tableau Server or Tableau Cloud? Choose two.

  • A. Whether or not there are large numbers of concurrent extract refreshes
  • B. Amount of data storage used on the client's existing server
  • C. Whether or not the client plans to leverage single sign-on (SSO)
  • D. Whether or not the client needs the ability to connect to public, cloud-based data sources

Answer: A,C

Explanation:
When considering a migration from Tableau Server to Tableau Cloud, two critical factors to consider are the client's need for single sign-on (SSO) and the volume of concurrent extract refreshes.
* Single Sign-On (SSO):Tableau Cloud supports SSO, which can streamline user authentication and enhance security.If the client plans to leverage SSO, Tableau Cloud may be a suitable choice1.
* Concurrent Extract Refreshes:The number of concurrent extract refreshes is a significant factor because it impacts performance and resource allocation.Tableau Server might be more appropriate if the client has a high volume of concurrent extract refreshes, as it allows for more control over the infrastructure to manage these workloads2.
References:The decision between Tableau Server and Tableau Cloud should be based on specific organizational needs, including security, compliance, performance, and scalability.The official Tableau resources provide guidance on these factors12.Additionally, discussions in the Tableau Community highlight the importance of considering these elements when choosing between Tableau Server and Tableau Cloud1.


NEW QUESTION # 16
A client builds a dashboard that presents current and long-term stock measures. Currently, the data is at a daily level. The data presents as a bar chart that presents monthly results over current and previous years. Some measures must present as monthly averages.
What should the consultant recommend to limit the data source for optimal performance?

  • A. Move calculating averages to data layer and aggregate dates to monthly level.
  • B. Limit data to current and previous years as well as to the last day of each month to eliminate the need to use the averages.
  • C. Limit data to current and previous years, move calculating averages to data layer, and aggregate dates to monthly level.
  • D. Limit data to current and previous years and leave data at daily level to calculate the averages in the report.

Answer: C


NEW QUESTION # 17
A consultant plans a Tableau deployment for a client that uses Salesforce. The client wants users to automatically see Tableau views of regional sales filtered by customer as soon as the users sign into Salesforce.
Which approach should the consultant use to deliver the final visualization?

  • A. Create a list of URLs that the users can click in Salesforce.
  • B. Embed views into Salesforce.
  • C. Create subscriptions for each view to deliver reports by email.
  • D. Publish to Tableau Mobile for viewing.

Answer: B

Explanation:
To ensure that users automatically see Tableau views of regional sales filtered by customer as they sign into Salesforce, embedding the views directly into Salesforce is most effective:
* Embedding Views: Tableau provides capabilities to embed its dashboards into web applications such as Salesforce. This approach ensures that the visualization is part of the Salesforce user interface, enhancing user experience by not requiring users to navigate away from Salesforce to view the data.
* Implement this by using Tableau's embedding code, which can be generated from the Tableau Server for each specific view. Place this embed code into the Salesforce Visualforce pages or use Salesforce Canvas to integrate these views seamlessly.
* This setup allows the Tableau views to inherit user credentials from Salesforce, enabling personalized data visualization based on the user's access rights and region, directly aligned with their Salesforce login session.
ReferencesThe embedding technique is documented in both Tableau's and Salesforce's official integration guides, which provide step-by-step instructions on embedding Tableau views into Salesforce platforms.


NEW QUESTION # 18
A client is working in Tableau Prep and has a field named Orderld that is compiled by country, year, and an order number as shown in the following table.

What should the consultant use to transform the table in the most efficient manner?

  • A. A calculated field that uses the LEFT function
  • B. The Split option
  • C. The Aliases option
  • D. A calculated field that uses the TRIM function

Answer: B

Explanation:
To transform theOrderldfield in Tableau Prep, the Split option is the most efficient and straightforward method. Here's how you can apply it:
* In Tableau Prep, drag your dataset into the flow.
* Click on theOrderldfield in the workspace to select it.
* Look for the option in the toolbar that says "Split" and select it.
* Choose "Automatic Split" if the delimiters (such as hyphens) are consistent; Tableau Prep should automatically detect the hyphen as the delimiter and split theOrderldinto multiple new fields.
* The dataset should now show new columns: one for the country code (CA, FR, US), one for the year (2017), and one for the order number (152156, 152157, etc.).
The Split option works effectively here because it automatically identifies and uses the hyphen as the delimiter to divide the originalOrderldinto the desired components without manual specification of conditions or writing any formulas.
ReferencesThis procedure is based on the standard functionalities provided in Tableau Prep for splitting a field into multiple columns based on a delimiter, as described in the Tableau Prep user guide.


NEW QUESTION # 19
A client has many published data sources in Tableau Server. The data sources use the same databases and tables. The client notices different departments give different answers to the same business questions, and the departments cannot trust the data. The client wants to know what causes data sources to return different data.
Which tool should the client use to identify this issue?

  • A. Tableau Prep Conductor
  • B. Tableau Catalog
  • C. Tableau Resource Monitoring Tool
  • D. Ask Data

Answer: B

Explanation:
The Tableau Catalog is part of the Tableau Data Management Add-on and is designed to help users understand the data they are using within Tableau. It provides a comprehensive view of all the data assets in Tableau Server or Tableau Online, including databases, tables, and fields. It can help identify issues such as data quality, data lineage, and impact analysis. In this case, where different departments are getting different answers to the same business questions, the Tableau Catalog can be used to track down inconsistencies and ensure that everyone is working from the same, reliable data source.
References:The recommendation for using Tableau Catalog is based on its features that support data discovery, quality, and governance, which are essential for resolving data inconsistencies across different departments12.
When different departments report different answers to the same business questions using the same databases and tables, the issue often lies in how data is being accessed and interpreted differently across departments.
Tableau Catalog, a part of Tableau Data Management, can be used to solve this problem:
* Visibility: Tableau Catalog gives visibility into the data used in Tableau, showing users where data comes from, where it's used, and who's using it.
* Consistency and Trust: It helps ensure consistency and trust in data by providing detailed metadata management that can highlight discrepancies in data usage or interpretation.
* Usage Metrics and Lineage: It offers tools for tracking usage metrics and understanding data lineage, which can help in identifying why different departments might see different results from the same underlying data.
References:
* Tableau Catalog Usage: The Catalog is instrumental in providing a detailed view of the data environment, allowing organizations to audit, track, and understand data discrepancies across different users and departments.


NEW QUESTION # 20
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