The new flashcard feature is useful to memorize questions.
?Change your study mode
At any time, you can change the study mode, and alternate between the practice mode and the exam mode. In practice mode, you can configure for example the number of questions or tests, and other parameters to help you study.
Randomized | 10 Questions per Test | 20 Minutes | 70% to pass|
To re-configure your study mode again and change - for example - the number of tests, whether you have random questions and all other configuration parameters.
?Simulator Configuration
Auto-scroll: You can use the automatic scrolling of the questionnaire that occurs as soon as you answer one or all of the answers to a question correctly. Auto scrolling is activated if you answer a single answer, or as soon as you answer all the mandatory answers. Learning Mode: During learning mode you can get a real time result for your answer.
Free Test
Question: / 10
20:00Min. left
?Restart the current test
To restart the current test by clearing all your answers and the time used up to now. Warning: all answers will be lost.
Question: / 10
5.0(40 Votes)
Quiz
Question 1/101/10
Calculated Insights - Metrics and Transformations
Calculated Insights - Metrics and Transformations
Calculated Insights - Metrics and Transformations
A retailer wants to calculate the total revenue generated by each customer during the current calendar year. Which calculated insight design best satisfies this requirement?
Select the answer:Select the answer
1 correct answer
A.
Use Customer as the dimension, sum the transaction amount as the measure, and filter transactions to the current calendar year
B.
Use Transaction Date as the dimension, count customers as the measure, and filter to transactions with a positive amount
C.
Use Customer as the measure, count transaction records as the dimension, and filter to the current calendar year
D.
Use the customer identifier as a filter only and calculate the average transaction amount without a date filter
The customer must be the grouping dimension, revenue must be aggregated with a sum measure, and the transaction date filter must restrict records to the current calendar year. The other designs either use the wrong aggregation, reverse dimensions and measures, or omit the required time period.
Right Answer: A
Quiz
Question 2/102/10
Data Harmonization and Data Mapping
Data Harmonization and Data Mapping
Data Harmonization and Data Mapping
A source system provides a field named 'Cust_ID', while the Salesforce Data Cloud data model expects the Individual identifier. What is the primary purpose of mapping the source field to the appropriate data model object field?
Select the answer:Select the answer
1 correct answer
A.
To associate the source value with the standardized business meaning used across Data Cloud
B.
To encrypt the source value before it is stored
C.
To automatically create an identity-resolution rule for every source record
D.
To convert every value in the source system into a Salesforce record ID
Mapping connects source fields to standardized Data Cloud data model object fields and gives the data a consistent semantic meaning. Mapping alone does not encrypt values, create identity rules, or convert source identifiers into Salesforce record IDs.
Right Answer: A
Quiz
Question 3/103/10
Activation - Destinations and Data Actions
Activation - Destinations and Data Actions
Activation - Destinations and Data Actions
A marketer wants to send a Data Cloud segment to an advertising platform and include selected customer attributes with each activated profile. Which configuration is required?
Select the answer:Select the answer
1 correct answer
A.
Configure an activation target with the destination and select the segment and attributes to publish
B.
Create only a calculated insight; calculated insights are automatically sent to every destination
C.
Create an identity-resolution ruleset and use it as the advertising destination
D.
Create a data action without defining a destination or activation target
An activation target identifies where the segment is sent, and the activation configuration determines which segment members and attributes are published. Calculated insights and identity-resolution rulesets do not by themselves deliver data to an external advertising platform.
Right Answer: A
Quiz
Question 4/104/10
Identity Resolution - Rulesets and Matching Rules
Identity Resolution - Rulesets and Matching Rules
Identity Resolution - Rulesets and Matching Rules
A business wants records to match only when both normalized email address and country are identical. Which matching-rule design most closely represents this requirement?
Select the answer:Select the answer
1 correct answer
A.
Use an exact match condition for normalized email and an exact match condition for country, with both conditions required
B.
Use a fuzzy match on name alone and ignore country
C.
Use an exact match on postal code only and treat email as optional
D.
Use a reconciliation rule without defining any matching criteria
Both fields are mandatory exact criteria in the stated requirement, so the ruleset should require an exact match on normalized email and country. Name-only or postal-code matching can create false positives, and reconciliation rules determine which values to retain after matching rather than defining the match itself.
Right Answer: A
Quiz
Question 5/105/10
Data Cloud Fundamentals and Architecture
Data Cloud Fundamentals and Architecture
Data Cloud Fundamentals and Architecture
Which sequence best describes the typical Data Cloud processing flow for bringing source data into an activated audience?
Select the answer:Select the answer
1 correct answer
A.
Ingest source data, map and harmonize it to the data model, resolve identities, create segments or insights, and activate the results
B.
Create an activation first, then use it to ingest and map source data automatically
C.
Run identity resolution before source data is ingested and before fields are mapped
D.
Create a calculated insight directly from unconnected source fields without ingestion or harmonization
Data Cloud first ingests source data, harmonizes it through mappings to the data model, and can then apply identity resolution. Segments and calculated insights use the harmonized data, and the resulting audiences or attributes can be activated.
Right Answer: A
Quiz
Question 6/106/10
Data Ingestion - Connectors and Data Streams
Data Ingestion - Connectors and Data Streams
Data Ingestion - Connectors and Data Streams
A company wants to ingest order data stored in an external cloud storage system into Salesforce Data Cloud. Which sequence best describes the normal ingestion process?
Select the answer:Select the answer
1 correct answer
A.
Create a data stream using the appropriate connector, select the source object or file, and map the incoming fields to a data lake object.
B.
Create a segment first, then use the segment to pull records directly from the external storage system.
C.
Create a calculated insight, which automatically connects to the external storage system and imports the order records.
D.
Create a data model object manually and expect Data Cloud to discover and ingest the external records without a data stream.
A connector provides access to the external system, and a data stream defines what data is ingested and how source fields are mapped into a data lake object. Segments and calculated insights operate on data after it has been ingested; creating a data model object alone does not ingest source data.
Right Answer: A
Quiz
Question 7/107/10
Data Cloud Data Model - Data Model Objects and Attributes
Data Cloud Data Model - Data Model Objects and Attributes
Data Cloud Data Model - Data Model Objects and Attributes
A company ingests customer data from Salesforce CRM and an ERP system. The source systems use different field names and formats for customer identifiers and addresses. The company wants to use a common, harmonized customer representation for segmentation in Data Cloud. Which approach correctly uses Data Cloud data model objects and attributes?
Select the answer:Select the answer
1 correct answer
A.
Map each source directly to the Unified Individual DMO and allow Data Cloud to retain the source-specific field definitions.
B.
Ingest the source data into data lake objects, then map the relevant fields to the corresponding attributes of a standard or custom data model object.
C.
Create a separate data model object for every source field so that no source-field transformation is required.
D.
Store the source records only in data lake objects because data model objects are used exclusively for reporting and not segmentation.
Data lake objects hold ingested source data, while data model objects provide the harmonized, canonical structure used by Data Cloud features such as segmentation. Source fields are mapped to the appropriate attributes of standard or custom data model objects. Option A incorrectly assumes that source-specific fields can be mapped directly without harmonization. Option C creates an inappropriate object structure, and option D incorrectly limits data model objects to reporting.
Right Answer: B
Quiz
Question 8/108/10
Data Ingestion - Batch, Streaming, and Near-Real-Time Processing
Data Ingestion - Batch, Streaming, and Near-Real-Time Processing
Data Ingestion - Batch, Streaming, and Near-Real-Time Processing
A source system delivers a complete snapshot of its 20-million-record product catalog each night. The file includes every current product, including products that were not changed since the previous delivery. Which ingestion approach best matches this delivery pattern?
Select the answer:Select the answer
1 correct answer
A.
Use batch ingestion with a full refresh so each delivery represents the complete current catalog
B.
Use incremental batch ingestion and assume each file contains only records changed since the previous delivery
C.
Use streaming ingestion because the catalog contains a large number of records
D.
Use near-real-time processing to merge the nightly snapshot into the catalog continuously
A complete snapshot is suited to batch ingestion with a full refresh, which replaces the previously ingested snapshot with the current one. Incremental ingestion is appropriate when the source supplies changes rather than a complete replacement, and the file-based nightly delivery does not itself call for streaming or continuous processing.
Right Answer: A
Quiz
Question 9/109/10
Data Governance - Consent, Privacy, and Data Retention
Data Governance - Consent, Privacy, and Data Retention
Data Governance - Consent, Privacy, and Data Retention
A marketing team wants to use customer data for a new campaign. The records were collected for order fulfillment, and the organization has not established that the original permission covers marketing. What should the team do before activating the audience?
Select the answer:Select the answer
1 correct answer
A.
Treat fulfillment permission as covering related commercial communications
B.
Check the applicable purpose and legal basis, then obtain or record any additional permission required
C.
Use the records if they contain a valid email address
D.
Send the campaign first and process objections after delivery
Consent and other legal bases are tied to defined purposes. The team must assess whether the existing basis covers marketing and obtain or record additional permission if required; collecting data for fulfillment does not itself authorize a new use.
Right Answer: B
Quiz
Question 10/1010/10
Data Quality, Monitoring, and Error Handling
Data Quality, Monitoring, and Error Handling
Data Quality, Monitoring, and Error Handling
A data stream reports a successful refresh, but a segment that depends on recent purchases excludes customers whose source records show purchases from yesterday. Which check should be performed first?
Select the answer:Select the answer
1 correct answer
A.
Compare the source event timestamps with the timestamps and refresh coverage of the ingested data
B.
Replace the identity resolution rules with exact matching on every available field
C.
Rebuild the segment using a broader customer population
D.
Change the purchase amount field from a numeric type to text
A successful refresh does not by itself establish that the expected recent records were included. Comparing source timestamps with ingested timestamps and refresh coverage tests whether the issue is data freshness before changing segmentation or identity rules.
Data-Con-10: Salesforce Certified Data 360 Consultant Practice test unlocks all online simulator questions
Thank you for choosing the free version of the Data-Con-10: Salesforce Certified Data 360 Consultant practice test! Further deepen your knowledge on Salesforce Simulator; by unlocking the full version of our Data-Con-10: Salesforce Certified Data 360 Consultant Simulator you will be able to take tests with over 274 constantly updated questions and easily pass your exam. 98% of people pass the exam in the first attempt after preparing with our 274 questions.
What to expect from our Data-Con-10: Salesforce Certified Data 360 Consultant practice tests and how to prepare for any exam?
The Data-Con-10: Salesforce Certified Data 360 Consultant Simulator Practice Tests are part of the Salesforce Database and are the best way to prepare for any Data-Con-10: Salesforce Certified Data 360 Consultant exam. The Data-Con-10: Salesforce Certified Data 360 Consultant practice tests consist of 274 questions and are written by experts to help you and prepare you to pass the exam on the first attempt. The Data-Con-10: Salesforce Certified Data 360 Consultant database includes questions from previous and other exams, which means you will be able to practice simulating past and future questions. Preparation with Data-Con-10: Salesforce Certified Data 360 Consultant Simulator will also give you an idea of the time it will take to complete each section of the Data-Con-10: Salesforce Certified Data 360 Consultant practice test . It is important to note that the Data-Con-10: Salesforce Certified Data 360 Consultant Simulator does not replace the classic Data-Con-10: Salesforce Certified Data 360 Consultant study guides; however, the Simulator provides valuable insights into what to expect and how much work needs to be done to prepare for the Data-Con-10: Salesforce Certified Data 360 Consultant exam.
Data-Con-10: Salesforce Certified Data 360 Consultant Practice test therefore represents an excellent tool to prepare for the actual exam together with our Salesforce practice test . Our Data-Con-10: Salesforce Certified Data 360 Consultant Simulator will help you assess your level of preparation and understand your strengths and weaknesses. Below you can read all the quizzes you will find in our Data-Con-10: Salesforce Certified Data 360 Consultant Simulator and how our unique Data-Con-10: Salesforce Certified Data 360 Consultant Database made up of real questions:
Info quiz:
Quiz name:Data-Con-10: Salesforce Certified Data 360 Consultant
Total number of questions:274
Number of questions for the test:50
Pass score:80%
You can prepare for the Data-Con-10: Salesforce Certified Data 360 Consultant exams with our mobile app. It is very easy to use and even works offline in case of network failure, with all the functions you need to study and practice with our Data-Con-10: Salesforce Certified Data 360 Consultant Simulator.
Use our Mobile App, available for both Android and iOS devices, with our Data-Con-10: Salesforce Certified Data 360 Consultant Simulator . You can use it anywhere and always remember that our mobile app is free and available on all stores.
Our Mobile App contains all Data-Con-10: Salesforce Certified Data 360 Consultant practice tests which consist of 274 questions and also provide study material to pass the final Data-Con-10: Salesforce Certified Data 360 Consultant exam with guaranteed success.
Our Data-Con-10: Salesforce Certified Data 360 Consultant database contain hundreds of questions and Salesforce Tests related to Data-Con-10: Salesforce Certified Data 360 Consultant Exam. This way you can practice anywhere you want, even offline without the internet.