IICS CDI Quiz3

In Informatica Intelligent Cloud Services (IICS), the Hierarchical Schema component is a vital element for handling hierarchical data structures such as XML or JSON.
A Hierarchical Schema component can be used by the following parent objects: Hierarchy Parser transformation, Hierarchy Builder transformation

The Informatica Cloud Secure Agent is a lightweight program that runs all tasks and enables secure communication across the firewall between your organization and Informatica Intelligent Cloud Services. Informatica Cloud Secure Agent works locally behind your firewall which means data never gets staged through the Informatica Cloud servers.

Yes. The Synchronization task provides an Add Lookup option in the Field Mapping tab. This allows you to retrieve data (for example, IDs or reference values) from another supported connection or object to enrich the records during synchronization. However, this feature depends on the connector, not all sources/targets support lookups.

Synchronization task is usually used to synchronize data between a source and a target. For example, you can read sales leads from your sales database and write them into Salesforce. You can also use expressions to transform the data according to your business logic or use data filters to filter data before writing it to targets

If you have edited (updated) a mapping, the mapping ran, but your changes did not take effect, a possible reason could be that you did not save changes in the mapping. After making changes to a mapping, it is crucial to save those changes. Ensure that you have clicked the "Save" button in Cloud Mapping Designer to persist your modifications.

Informatica's Data Integration processes typically follow a schema or metadata definition, and any fields that are not part of the expected schema are generally ignored during processing. If additional fields are present in the file list generated through a command and these fields are not part of the sample metadata or expected schema, they will typically be ignored by the integration process.

Only AND filter criteria are required - to perform this action you can use simple filter.

Flat file sources - Correct, in flat file sources you can use both simple and advanced data filter but keep in mind that you cannot create a simple data filter in a synchronization task that includes a flat file source. You can create an advanced data filter.

The Joiner transformation can join data from two related heterogeneous sources. The sources can be different but they must be related as database tables are joined together based on the join conditions and join type defined within the Joiner transformation.

For example, you can use the Joiner transformation to join account information from flat files with data from the Salesforce Account object.

Joiner Transformation can join only two sources at one time and the join condition fields must have the same datatype otherwise the processing logic would fail. While the Joiner transformation is designed for joining two sources, you can use multiple Joiner transformations or other techniques like unioning or pre-processing to join more than two sources in a mapping.