順便提一下，可以從雲存儲中下載Fast2test Data-Con-101考試題庫的完整版：https://drive.google.com/open?id=1-T4uNs1kHeP8RQyO2VmFXNxEpybptR-x
沒有人除外，我們Fast2test保證你100%的比例， 今天你選擇Fast2test，選擇你要開始的訓練，並通過你的下一次的考題，你將得到最好的資源與市場的相關性和可靠性保證。Fast2test Salesforce的Data-Con-101考題和答案反映的問題問Data-Con-101考試。
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我們的Salesforce Data-Con-101題庫是由專業的IT團隊以最好的技術水準制作而得到的學習資料，其中整合最新的Data-Con-101考試問題得到而來，以確保您購買我們的題庫資料是真實有效的，即使是新手也可以快速輕松獲得Salesforce Data-Con-101認證。對于如此有效的考古題，趕快加入購物車吧！付款之后您就可以立即下載所購買的Data-Con-101題庫，這將會讓您在您的考試中獲得高分，并順利的通過Data-Con-101考試。
問題 #26
What should an organization use to stream inventory levels from an inventory management system into Data Cloud in a fast and scalable, near-real-time way?
答案：D
解題說明：
The Ingestion API is a RESTful API that allows you to stream data from any source into Data Cloud in a fast and scalable way. You can use the Ingestion API to send data from your inventory management system into Data Cloud as JSON objects, and then use Data Cloud to create data models, segments, and insights based on your inventory data. The Ingestion API supports both batch and streaming modes, and can handle up to
100,000 records per second. The Ingestion API also provides features such as data validation, encryption, compression, and retry mechanisms to ensure data quality and security. References: Ingestion API Developer Guide, Ingest Data into Data Cloud
問題 #27
A customer creates a large segment of customers that placed orders in the last 30 days, and adds related attributes from the... to the activation. Upon checking the activation in Marketing Cloud, they notice It contains orders that are older than 30 days.
What should a consultant do to resolve this issue?
答案：B
解題說明：
The issue arises because the activated segment in Marketing Cloud contains orders older than 30 days, despite the segment being defined to include only recent orders. The best solution is to apply a filter to the Purchase Order Date to exclude older orders. Here's why:
Understanding the Issue
The segment includes related attributes from the purchase order data.
Despite filtering for orders placed in the last 30 days, older orders are appearing in the activation.
Why Apply a Filter to Purchase Order Date?
Root Cause :
The related attributes (e.g., purchase order details) may not be filtered by the same criteria as the segment.
Without a specific filter on the Purchase Order Date , older orders may inadvertently be included.
Solution Approach :
Applying a filter directly to the Purchase Order Date ensures that only orders within the desired timeframe are included in the activation.
Other Options Are Less Suitable :
A). Use data graphs that contain only 30 days of data : Data graphs are not typically used to filter data for activations.
B). Apply a data space filter to exclude orders older than 30 days : Data space filters apply globally and may unintentionally affect other use cases.
D). Use SQL in Marketing Cloud Engagement to remove orders older than 30 days : This is a reactive approach and does not address the root cause in Data Cloud.
Steps to Resolve the Issue
Step 1: Review the Segment Definition
Confirm that the segment filters for orders placed in the last 30 days.
Step 2: Add a Filter to Purchase Order Date
Modify the activation configuration to include a filter on the Purchase Order Date , ensuring only orders within the last 30 days are included.
Step 3: Test the Activation
Publish the segment again and verify that the activation in Marketing Cloud contains only the desired orders.
Conclusion
By applying a filter to the Purchase Order Date , the consultant ensures that only orders placed in the last 30 days are included in the activation, resolving the issue effectively.
問題 #28
How does Data Cloud ensure high availability and fault tolerance for customer data?
答案：B
解題說明：
Ensuring High Availability and Fault Tolerance:
High availability refers to systems that are continuously operational and accessible, while fault tolerance is the ability to continue functioning in the event of a failure.
Reference: Salesforce High Availability and Fault Tolerance Whitepaper
Data Distribution Across Multiple Regions and Data Centers:
Salesforce Data Cloud ensures high availability by replicating data across multiple geographic regions and data centers. This distribution mitigates risks associated with localized failures.
If one data center goes down, data and services can continue to be served from another location, ensuring uninterrupted service.
Reference: Salesforce Infrastructure Overview
Benefits of Regional Data Distribution:
Redundancy: Having multiple copies of data across regions provides redundancy, which is critical for disaster recovery.
Load Balancing: Traffic can be distributed across data centers to optimize performance and reduce latency.
Regulatory Compliance: Storing data in different regions helps meet local data residency requirements.
Reference: Salesforce Data Center Locations and Regional Data Hosting
Implementation in Salesforce Data Cloud:
Salesforce utilizes a robust architecture involving data replication and failover mechanisms to maintain data integrity and availability.
This architecture ensures that even in the event of a regional outage, customer data remains secure and accessible.
Reference: Salesforce Trust and Compliance Documentation
問題 #29
During an implementation project, a consultant completed ingestion of all data streams for their customer.
Prior to segmenting and acting on that data, which additional configuration is required?
答案：B
解題說明：
After ingesting data from different sources into Data Cloud, the additional configuration that is required before segmenting and acting on that data is Identity Resolution. Identity Resolution is the process of matching and reconciling source profiles from different data sources and creating unified profiles that represent a single individual or entity1. Identity Resolution enables you to create a 360-degree view of your customers and prospects, and to segment and activate them based on their attributes and behaviors2. To configure Identity Resolution, you need to create and deploy a ruleset that defines the match rules and reconciliation rules for your data3. The other options are incorrect because they are not required before segmenting and acting on the data. Data Activation is the process of sending data from Data Cloud to other Salesforce clouds or external destinations for marketing, sales, or service purposes4. Calculated Insights are derived attributes that are computed based on the source or unified data, such as lifetime value, churn risk, or product affinity5. Data Mapping is the process of mapping source attributes to unified attributes in the data model. These configurations can be done after segmenting and acting on the data, or in parallel with Identity Resolution, but they are not prerequisites for it. References: Identity Resolution Overview, Segment and Activate Data in Data Cloud, Configure Identity Resolution Rulesets, Data Activation Overview, Calculated Insights Overview, [Data Mapping Overview]
問題 #30
How does identity resolution select attributes for unified individuals when there Is conflicting information in the data model?
答案：C
解題說明：
Identity resolution is the process of creating unified profiles of individuals by matching and merging data from different sources. When there is conflicting information in the data model, such as different names, addresses, or phone numbers for the same person, identity resolution leverages reconciliation rules to select the most accurate and complete attributes for the unified profile. Reconciliation rules are configurable rules that define how to resolve conflicts based on criteria such as recency, frequency, source priority, or completeness. For example, a reconciliation rule can specify that the most recent name or the most frequent phone number should be selected for the unified profile. Reconciliation rules can be applied at the attribute level or the contact point level. References: Identity Resolution, Reconciliation Rules, Salesforce Data Cloud Exam Questions
問題 #31
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Data-Con-101考試資料: https://tw.fast2test.com/Data-Con-101-premium-file.html
P.S. Fast2test在Google Drive上分享了免費的、最新的Data-Con-101考試題庫：https://drive.google.com/open?id=1-T4uNs1kHeP8RQyO2VmFXNxEpybptR-x