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Questions and Answers
Which three actions can be applied to a previously created segment?
What are the two minimum requirements needed when using the Visual Insights Builder to create a Calculated Insight?
What are the two distinct phases of data model management in Data Cloud?
Which two statements are true about using consent API and exercising the right to be forgotten?
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A customer has requested that their personal data be deleted. Which action should be performed to accommodate this request in Data Cloud?
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What are two benefits Data Cloud provides a company in relation to managing customer data?
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Which data sources are available from Marketing Cloud as a starter bundle?
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Which two considerations should the consultant inform the customer about in regards to honoring requests for the right to be forgotten using the Consent API?
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Which two features should the consultant recommend to best address the customer's requirement to view the last time each segment was published within their Data Cloud org?
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What type of individuals does 'y.Individuals who purchased at least one of any red product and also purchased at least one pair of shoes' refer to?
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How can a consultant segregate Salesforce CRM Account data based on Country for its Data Cloud users?
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Which solution provides an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
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What are two of the available datasets in Marketing Cloud Starter Data Bundles?
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Which data stream category should be assigned to use the data for time-based operations in segmentation and calculated insights?
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What should a consultant consider when ingesting the data stream of store transactions uploaded daily by Northern Trail Outfitters to an Amazon S3 bucket?
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Which two statements about Data Cloud's Web and Mobile App connector are true?
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Which data model subject area should be used for any Organization, Individual, or Member in the Customer 360 data model?
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Which two objects or fields are supported for ingestion using the Salesforce CRM connector?
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Which option allows an organization an easy way to ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis?
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How does Data Cloud handle an individual's right to be forgotten?
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What object should a consultant use in identity resolution to perform exact match rules on the Loyalty ID that is different from the unique ID of customers?
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Which two dependencies need to be removed prior to disconnecting a data source? (Choose 2)
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What is the first step to set up and configure a Data Cloud instance after it has been provisioned?
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Which three objects are created as a result of Identity Resolution? (Choose 3)
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An administrator wants to be able to create a multi-dimensional metric to identify unified individual lifetime value (LTV). Which sequence of DMO joins are necessary within the Calculated Insight to enable this calculation?
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What should an administrator do to pause a segment activation but with the intent of using that segment again?
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A consultant wants to ensure that every segment managed by multiple brand teams adheres to the same set of exclusion criteria, that are updated on a monthly basis. What is the most efficient option to allow for this capability?
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Which two dependencies prevent a data stream from being deleted?
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Study Notes
Data Cloud Fundamentals
- Data Cloud addresses two common use cases: understanding and acting upon customer data to drive more relevant experiences, and governing enterprise data lifecycle through a centralized set of policies and processes.
Data Segregation and Security
- Cumulus Financial can segregate Salesforce CRM Account data based on Country for its Data Cloud users by using the data spaces feature and applying filtering on the Account data lake object based on Country.
Identity Resolution
- Identity resolution can be used to unify customer data from different sources.
- The consultant should segment for activation membership on the Unified Individual entity.
- Data Cloud handles an individual's Right to be Forgotten by deleting the specified Individual record and its Unified Individual Link record.
Data Ingestion and Integration
- The Salesforce CRM Connector is configured and the Case object data stream is set up.
- When integrating an Amazon S3 activated campaign with the customer's destination system, the metadata about the segment is contained in the json file on S3.
Activation and Segmentation
- When building a segment, the consultant can include three criteria: direct attributes, data stream attributes, and calculated insights.
- To export the segment to Amazon S3, the resulting file needs to include the Salesforce CRM Campaign ID in the name.
- To track the daily transaction volume of each customer in real-time and send out a notification, the consultant should use a streaming insight paired with a data action.
Identity Resolution and Matching Rules
- To ensure accurate matching results, the consultant should recommend using exact match rules on Loyalty ID, such as Party Identification object.
- The Source Sequence reconciliation rule prioritizes specific data sources when building a unified profile.
Data Quality and Standardization
- To guarantee that phone number formats are standardized, the consultant should create a formula field to standardize the format.
- The Ignore Empty Value option ignores empty fields when running custom match rules.
Data Modeling and Calculation
- To create a multi-dimensional metric to identify unified individual lifetime value (LTV), the consultant should use the sequence of data model object (DMO) joins: Unified Individual > Unified Link Individual > Sales Order.
- The consultant should be aware that when modifying a calculated insight, new dimensions can be added, existing dimensions can be removed, existing measures can be removed, and new measures can be added.### Salesforce CRM Connector
- A new custom field named Business Priority is created on the Case object in Salesforce CRM, but it's not available when trying to add it to the data stream.
- The cause of this issue is that the Salesforce Integration User is missing Read permissions on the newly created field.
Data Ingestion
- When ingesting data from a custom object in Salesforce CRM, a consultant should recommend using a data kit to split the point systems into two separate records for better tracking and processing.
- The most efficient approach to ingest Contact object data is to map the Work Phone, Mobile Phone, and Home Phone to the Contact Point Phone data map object from the Contact data stream.
Permission Settings
- To check if a custom Salesforce CRM object is available in New Data Stream configuration, a consultant should confirm the Create object permission is enabled in the Data Cloud org.
- To check if a custom Salesforce CRM object is available in New Data Stream configuration, a consultant should confirm the View All object permission is enabled in the source Salesforce CRM org.
Identity Resolution
- To increase the consolidation rate, a consultant should consider changing the reconciliation rules to Most Occurring.
- When building a segment, a consultant should consider using two separate containers linked by an AND to filter out data.
- Identity resolution selects attributes for unified individuals by leveraging reconciliation rules.
- To review a rule that joins CRM Contacts with Marketing Contacts, a consultant should map the primary key from the two systems to Party Identification, using CRM ID as the identification name for both.
Data Cloud
- To ensure every segment managed by multiple brand teams adheres to the same set of exclusion criteria, a consultant should create, publish, and deploy a data kit.
- To troubleshoot an issue with delayed updates to data prior to activation, a consultant should review data transformations and calculated insights.
- To configure an activation, a consultant should include the related attribute Fund Name and add a related attribute filter for Fund Type equal to "Mutual Fund".
Amazon S3
- To support separate Amazon S3 buckets for data ingestion and activation, a consultant should set up dedicated S3 data sources in Data Cloud.
- To authenticate with an Amazon S3 bucket, a consultant should use an S3 Access Key and Secret Key.
Segmentation
- To filter out data, a consultant should use a filter operator on the Engagement Date field, such as Is Between or Last Number of Days.
- To view the last time each segment was published, a consultant should recommend using Explorer and Dashboard.
Data Integration
- To ingest Marketing Cloud subscriber profile attributes into Data Cloud on a daily basis, a consultant should use Automation Studio and Profile file API.
- To ingest data from a file in an Amazon S3 bucket, a consultant should configure the filename to contain a wildcard to accommodate the timestamp.
Calculated Insights
- To analyze individuals who have been in a segment within the last 2 years, a consultant should use calculated insights.
- To perform aggregations in windows of 15 minutes on data collected via the Interaction SDK or Mobile SDK, a consultant should use streaming insights.
Streaming Insights
- A unique requirement of a Streaming Insight query is a window function.
- To build a filter in the Segmentation Canvas, a consultant can use Data Lake Objects, Streaming Insights, or Calculated Insights.
Data Modeling
- To modify attribute names to match a naming convention in Cloud File Storage target, a consultant should update attribute names in the data stream configuration.
Activation
- To ensure the best email address is activated, a consultant should include the Contact Point Email object Is Active field as a match rule.
- To trigger a data action to Journey Builder every hour, a consultant should set the activation schedule to hourly.### Data Cloud Overview
- Data Cloud is a customer data platform that provides a unified view of customer data and enables personalized experiences.
Data Ingestion
- Data can be ingested from various sources, including Amazon S3, Salesforce CRM, and Marketing Cloud.
- Data ingestion can be done through various methods, including manual import, automated import, and API.
Data Model
- Data Model is a conceptual representation of the data entities and their relationships.
- Data Model entities include Individual, Party, Contact, and Contact Point.
- Data Model objects include Profile, Engagement, and Order.
Segmentation
- Segmentation is the process of dividing a large customer base into smaller, more manageable groups based on shared characteristics.
- Segments can be created based on various attributes, including demographics, behavior, and preferences.
- Segmentation can be used to create targeted marketing campaigns and personalized experiences.
Calculated Insights
- Calculated Insights are derived measures that are calculated based on existing data.
- Calculated Insights can be used to create new insights and metrics that are not available in the original data.
- Calculated Insights can be used in segmentation, reporting, and visualization.
Identity Resolution
- Identity Resolution is the process of linking multiple data sources to a single individual.
- Identity Resolution is used to create a unified view of the customer.
- Identity Resolution rules operate across multiple data model objects, including Individual, Party, and Contact Point.
Data Security and Governance
- Data Security and Governance is a critical aspect of Data Cloud.
- Data Security and Governance policies and procedures are in place to ensure the confidentiality, integrity, and availability of customer data.
- Data Security and Governance includes data encryption, access controls, and audit logging.
Data Activation
- Data Activation is the process of making data available for use in marketing campaigns and personalized experiences.
- Data Activation includes data processing, data transformation, and data enrichment.
- Data Activation is used to create targeted marketing campaigns and personalized experiences.
Marketing Cloud Integration
- Marketing Cloud integration allows for the integration of Data Cloud with Marketing Cloud.
- Marketing Cloud integration enables the creation of targeted marketing campaigns and personalized experiences.
- Marketing Cloud integration includes data synchronization, campaign management, and customer journey mapping.
Salesforce CRM Integration
- Salesforce CRM integration allows for the integration of Data Cloud with Salesforce CRM.
- Salesforce CRM integration enables the creation of targeted marketing campaigns and personalized experiences.
- Salesforce CRM integration includes data synchronization, customer data management, and sales analytics.
Amazon S3 Integration
- Amazon S3 integration allows for the integration of Data Cloud with Amazon S3.
- Amazon S3 integration enables the storage and processing of large amounts of data.
- Amazon S3 integration includes data ingestion, data processing, and data storage.
B2C Commerce Integration
- B2C Commerce integration allows for the integration of Data Cloud with B2C Commerce.
- B2C Commerce integration enables the creation of targeted marketing campaigns and personalized experiences.
- B2C Commerce integration includes data synchronization, customer data management, and order analytics.
Data Cloud Features
- Data Cloud includes features such as data ingestion, data processing, data transformation, and data enrichment.
- Data Cloud includes features such as segmentation, calculated insights, and identity resolution.
- Data Cloud includes features such as data security and governance, data activation, and marketing cloud integration.
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Explore Google Cloud Data Fundamentals, including data segregation, security, and governance. Learn how to drive relevant customer experiences and manage enterprise data lifecycle.
