Data Setup20% of the exam
Ingestion routes, batch transforms and federation costs
How to pick a Tableau Next ingestion route (file upload, Salesforce Connections, Google Drive, accelerated database connections), the file limits and refresh rules for each, what Tableau Next batch data transforms can and can't do, how DLOs relate to data spaces, and which processing is unmetered or consumes credits.
Given a scenario, determine the appropriate data architecture or data processing approach.
~7 min read · 20 practice questions
What the exam expects
- Choose an ingestion route for a source: local Excel or CSV upload, Salesforce Connections (Beta), Google Drive, or an external database connection with or without acceleration.
- Predict processing mode and limits for uploads and refreshes, and how file and accelerated connections refresh.
- Design Tableau Next batch data transforms within their input, output, definition, currency and Append rules.
- Place DLOs in data spaces and use Data Monitor to track referenced assets.
- Classify processing as unmetered or metered and name the usage types federation and caching consume.
Key terms:
- Asynchronous processing (Beta): queued processing for uploads above the standard thresholds.
- Acceleration: caching external data in a Data 360 DLO instead of querying the source live.
- Batch data transform: a repeatable series of node operations writing results to a data object.
- Data space: a logical partition of data, metadata and processes.
- Unmetered usage: usage that doesn't consume credits.
Key facts
Excel standard mode
- Detail
- Under 10 MB and under 95 columns
Column ceiling
- Detail
- 800 per data type
Refresh file size
- Detail
- 10 MB Excel, 100 MB CSV
Salesforce Connections
- Detail
- Beta; standard and custom CRM objects to DLOs
File-based refresh
- Detail
- Full refresh replaces cached data
Incremental acceleration
- Detail
- As often as every 15 minutes
Snowflake Unload
- Detail
- On by default; turn off by editing the connection
Transform definitions
- Detail
- One per Tableau Next transform; no Merge Records
DMO inputs
- Detail
- Same data space; no mixing with DLOs
Transform currency unset
- Detail
- Data remains unchanged
New DLO data space
- Detail
- Default
Cache queries
- Detail
- Consume Data Queries
Sources for this section (11)
- Upload Modes and Limitshelp.salesforce.com (opens in a new tab)
- File Refresheshelp.salesforce.com (opens in a new tab)
- Salesforce Connectionshelp.salesforce.com (opens in a new tab)
- File-Based Connectionshelp.salesforce.com (opens in a new tab)
- Turn on Accelerationhelp.salesforce.com (opens in a new tab)
- Caching or Accelerationhelp.salesforce.com (opens in a new tab)
- Transform Limitationshelp.salesforce.com (opens in a new tab)
- Add Input Datahelp.salesforce.com (opens in a new tab)
- Set a Currencyhelp.salesforce.com (opens in a new tab)
- Adding Assets to a Data Spacehelp.salesforce.com (opens in a new tab)
- Federation Billinghelp.salesforce.com (opens in a new tab)
- What is the largest sample a batch transform preview shows for a node?
- When can a DLO and a DMO be inputs to the same batch data transform?
- Why can a DLO created through a zero copy connector contain no rows?
- Which field type can't be chosen as the primary key of a DMO output node?
The questions are free to read. Answers with their sources and self-grading are included with the pack.
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