Salesforce Certified Data Cloud Consultant 온라인 연습
최종 업데이트 시간: 2024년11월08일
당신은 온라인 연습 문제를 통해 Salesforce Data Cloud Consultant 시험지식에 대해 자신이 어떻게 알고 있는지 파악한 후 시험 참가 신청 여부를 결정할 수 있다.
시험을 100% 합격하고 시험 준비 시간을 35% 절약하기를 바라며 Data Cloud Consultant 덤프 (최신 실제 시험 문제)를 사용 선택하여 현재 최신 92개의 시험 문제와 답을 포함하십시오.
정답:
Explanation:
These two requirements are needed when using the Visual Insights Builder to create a Calculated
Insight. A dimension is an attribute that can be used to group or filter data, such as product category
or customer segment. A measure is an attribute that can be used to perform calculations, such as
revenue or quantity.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights_create.htm&type=5
정답:
Explanation:
These three actions can be applied to a previously created segment. You can export a segment to a
CSV file, delete a segment from Data Cloud, or copy a segment to create a duplicate segment with
the same criteria.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation_actions.htm&type=5
정답:
Explanation:
You can add new measures or dimensions to a Calculated Insight by selecting them from the available attributes list
정답:
Explanation:
This component should be recommended to achieve the goal of understanding which identified
users have browsed the jobs page on their website at least twice within the last 12 hours. Streaming
Insight allows you to query and filter data from real-time streams using window functions and
aggregation functions.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
정답:
정답:
Explanation:
This feature can integrate in real time with Salesforce CRM. Data Actions allow you to perform
actions on Salesforce CRM records based on Data Cloud data, such as creating, updating, or deleting
records.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_actions.htm&type=5
정답:
Explanation:
These two features support the need to calculate each customer’s lifetime value (LTV) and create breakdowns of the revenue sourced by different channels. Calculated Insight allows you to create complex calculations based on stored data, such as LTV. Segment allows you to create audiences based on different criteria, such as revenue source.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_calculated_insights.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_segmentation.htm&type=5
정답:
Explanation:
This method should be used when performing aggregations in windows of 15 minutes on data collected via the Interactions SDK and Mobile SDK. Streaming Insight allows you to query and aggregate data from real-time streams using window functions.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
정답:
Explanation:
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
정답:
Explanation:
A window function is a unique requirement of a Streaming Insight query. It defines the time interval for the query to run on the streaming data and the frequency of the query execution.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_streaming_insights.htm&type=5
정답:
Explanation:
This operator can be used to create a segment for a birthday campaign that is evaluated daily. It compares a date attribute to the current date and returns true if they have the same month and day,
regardless of the year.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_segmentation_operators.htm&t ype=5
정답:
정답:
Explanation:
These two options are recommended ways to bring transactional data from a data warehouse into Data Cloud via a SFTP site. You can use the Cloud Storage Connector to ingest files from Google Cloud Storage or Amazon S3 buckets into Data Cloud.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_google_cloud_storage.htm&typ e=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_amazon_s3.htm&type=5
정답:
Explanation:
These two ways can help Data Cloud honor a request to be forgotten by a customer. The Consent API allows you to set a consent flag for an individual that prevents further processing of their data and deletes their records from source data streams. The delete from file functionality allows you to upload a file with individual IDs that will be deleted from Data Cloud.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_consent_api.htm&type=5 https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_from_file.htm&type=5
정답:
Explanation:
This is how Data Cloud handles an individual’s right to be forgotten. It deletes the individual record
from the Individual data model object (DMO) and any related records from the data stream objects
(DSOs) that are mapped to it.
Reference: https://help.salesforce.com/s/articleView?id=sf.c360_a_data_cloud_delete_individual.htm&type=5