Dec-2023 Free AD0-E600 Test Questions Real Practice Test Questions
AD0-E600 Dumps Updated Dec 23, 2023 WIith 52 Questions
To pass the Adobe AD0-E600 exam, candidates must have a deep understanding of Adobe Experience Platform concepts, including data ingestion, data processing, data governance, and data activation. They should also have experience working with Adobe Experience Platform tools, such as the Adobe Experience Platform Launch, Adobe Experience Platform Debugger, and Adobe Experience Platform Web SDK. Candidates need to be familiar with data management techniques, data modeling, and data visualization to be successful in AD0-E600 exam.
NEW QUESTION # 16
Time-series data has been ingested and linked with a Real-time Customer Profile.
A data engineer wants to look up only the most recent time-series event associated with the Luma ID "100".
Which API call will return the desired event object?
- A.
- B.
- C.
- D.
Answer: A
NEW QUESTION # 17
A data engineer does not have access to the AEP Ul and must create a new Dataset and upload CSV data.
Which API requests will allow the data engineer to upload this data?
A)
B)
C)
- A. Option B
- B. Option A
- C. Option C
Answer: C
NEW QUESTION # 18
Which service allows a data engineer to look up all metadata for a given batch ID via API?
- A. Datasets API
- B. Data Ingestion API
- C. Catalog API
- D. Sandbox API
Answer: B
NEW QUESTION # 19
A data engineer creates a custom identity namespace within AEP. However, this custom Identity namespace is the wrong Identity type. What can the data engineer do to update the identity namespace?
- A. Using the Identity Namespace APIs, update the custom Identity type.
- B. Edit the Identity Namespace type within the AEP User-Interface under Identities.
- C. Create a new custom Identity Namespace with the correct Identity type.
- D. Delete the customIdentityNamespace from the AEP User-Interface under Identities.
Answer: B
NEW QUESTION # 20
A data engineer needs to bong m data via cloud storage sources into the Platform Which two data formats can the data engineer ingest? (Choose two.)
- A. TSV
- B. JSON
- C. AVRO
- D. XMKL
- E. CSV
Answer: A,D
NEW QUESTION # 21
A B2B business (the client) is migrating its data warehouse (DWH) solution to AEP. Currently, they are using what they call Recipient ID as the main identifier to recognize client employees. That Recipient 10 is generated inside the DWH. That solution will not be available once AEP is live, so the solution architect needs to consider potential alternatives.
After working with the client lead and a data engineer, the solution architect identifies that a combination of Company ID and Hashed Employee Email would be a good replacement for the Recipient ID to make it more unique.
How can the solution architect generate that identity within AEP?
- A. The Company ID and Hashed Employee Email must be combined outside of AEP and passed as a unique primary identity.
- B. The Company ID (non-people identifier) must be set up as a primary ID. The Hashed Employee Email as a secondary ID and AEP will automatically reconcile them.
- C. The Company ID and Hashed Employee Email must be combined in AEP data prep and passed as a unique primary identity.
- D. The Hashed Employee Email must be set up as a primary ID. The Company ID (non-people identifier) as a secondary ID and AEP will automatically reconcile them.
Answer: A
Explanation:
Explanation
https://experienceleague.adobe.com/docs/experience-platform/identity/home.html?lang=en
NEW QUESTION # 22
What is the difference between a data science training run and a data science scoring run?
- A. A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.
- B. A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A training run requires that a scoring run has occurred.
- C. A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A scoring run requires that a training run has occurred.
- D. A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A scoring run requires that a training run has occurred.
Answer: A
Explanation:
Explanation
A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run has occurred.
References:https://experienceleague.adobe.com/docs/experience-platform/data-science-workspace/overview.htm
NEW QUESTION # 23
Given the following segment definition:
personalEmail.3ddress.isNotNull()and homeAddress.city.equalsrChicago", (rue) and homeAddress.statePfovince.equalsCIL". false) There is a profile that meets the criteria for the segment. Given the following segment job runs:
T1: segment job run (no attribute changes)
T2: segment job run (no attribute changes)
T3: segment job run (homeAddress.crty attribute changed to Oakbrook)
T4: segment job run (personalEmail.address value changes)
What is the segement membership status at each time period?
- A. Realized Exited. Existing. Exited
- B. Exited. Existing. Exited. Realized
- C. Realized. Existing. Exited. Exited
- D. Existing. Realized. Exited. Exited
Answer: D
NEW QUESTION # 24
What is model scoring in the Data Science Workspace?
- A. Engineering features for a model
- B. Building and evaluating a model
- C. Building a recipe
- D. Applying a model to a data set
Answer: D
Explanation:
Explanation
Model scoring in the Data Science Workspace in Adobe Experience Platform is the process of applying a model to a data set. Scoring in Adobe Experience Platform Data Science Workspace can be achieved by feeding input data into an existing trained model. Scoring results are then stored and viewable in a specified output dataset as a new batch.
NEW QUESTION # 25
A data architect responsible for maintaining existing schemas is notified that a previously defined mandatory field is no longer available due to some changes in the inbound data. The data architect confirms the existing schema has been saved and is currently being leveraged in data ingestion.
Which option does the data architect have?
- A. Remove the previously defined field
- B. Rename the existing field
- C. Assign the field a new data type
- D. Make the current mandatory field optional
Answer: A
NEW QUESTION # 26
A data engineer is ingesting the transactional information from an ecommerce platform through a daily feed.
In AEP, one Experience Event-based schema will collect the purchase events from this feed.
The eventType field of the schema must be populated with "commerce.purchases' if in a CSV record in which the column 'pure ha sesf arid ate' and 'purchaseenddate" happen on the same day, If the "purchasee/irfdate" is set to a later date, the eventType should be *commerce._orgtenant.cancer.
Both dates follow the same format "yyyy-MM-dd'T'HH:mm:ss.SSS'Z~. and the "purchaseenddate' is always populated.
How should the data engineer create a Calculated Field that can be used to populate the eventType according to the required logic?
A)
B)
C)
D)
- A. Option B
- B. Option C
- C. Option A
- D. Option D
Answer: D
NEW QUESTION # 27
What is the difference between a data science training run and a data science scoring run?
- A. A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A training run requires that a scoring run hasoccurred.
- B. A training run involves generating insights from your data while a scoring run is about learning patterns from your data. A scoring run requires that a training run hasoccurred.
- C. A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A training run requires that a scoring run hasoccurred.
- D. A training run involves learning patterns from your data while a scoring run is about generating insights from your data. A scoring run requires that a training run hasoccurred.
Answer: A
NEW QUESTION # 28
A marketer has been tasked with setting up an export of a certain segment of their profile data to their cloud storage. Which two types of file export options are available to the marketer? (Choose two.)
- A. Incremental
- B. full
- C. Partial
Answer: A,B
Explanation:
Explanation
The two types of file export options available to a marketer when setting up an export of a certain segment of their profile data to their cloud storage in Adobe Experience Platform are Full and Incremental.
NEW QUESTION # 29
A data engineer is using Data Prep to format data for ingestion. The data engineer needs to load Date/Time as Date values for a field called CustomerCreateDate. The use of this field does not require a time component and as is String based.
The JSON value in this example is '.platosaprod.customerCreateDateVZOOS-11 -04 15:44".
Which Data Prep functions and order should the data engineer use to format the date without the time component?
- A. date(_platosaprod.customerCreateDate.'dd-MM-yyyy')
- B. format(date(_platosaprod.customerCreateDate),'dd-MM-yyyy')
- C. format(p'atosaprod.custometCreateDate.dd-MM-yyyy')
- D. dformaUdateLP'atosaprod.customerCreateDateJ.'dd-MM-yyyy')
Answer: D
NEW QUESTION # 30
Which subset of data appears when clicking the 'Preview dataset" button on a Dataset page?
- A. A sample of all successful batches in the dataset in the past 7 days
- B. A sample of the data structure of the XDM schema
- C. A sample of all successful and failed batches in the dataset
- D. A sample of the most recent successful batch in the dataset
Answer: D
NEW QUESTION # 31
A data engineer is required to partially ingest data via a Source Connector. Which three source connectors are permitted for this task? (Choose three.)
- A. FTP/SFTP
- B. Web SDK
- C. HTTP API
- D. Azure Blob Storage
- E. Adobe Analytics
- F. Microsoft Dynamics
Answer: A,D,E
NEW QUESTION # 32
During discovery, a business user explains that customer data from field-sales reps is stored in a third-party CRM system.
Based on the three methods of ingesting data into Adobe Experience Platform, which method should be used to set up a schedule-based ingestion run?
- A. Streaming API
- B. Batch API
- C. Sources
- D. File automation
Answer: C
Explanation:
Explanation
The best method to set up a schedule-based ingestion run in Adobe Experience Platform is to use Sources.
Sources allow you to configure and schedule batch ingestion runs for data that is stored in a third-party system.
https://experienceleague.adobe.com/docs/experience-platform/ingestion/home.html?lang=en
NEW QUESTION # 33
What it the appropriate identity namespacs for an email mat n coming in hashed'
- A. ECID
- B. Email SHA256
- C. Email MDS
- D. Email
Answer: C
NEW QUESTION # 34
In an AEP implementation, an SFTP source setup performs daily imports. A marketer notices that the segment volumes linked to that data source have dropped in the last days. After a root cause analysis, it is identified that the dataflow that manages the SFTP import has been disabled by mistake.
The missing files must be ingested in AEP, and the daily import must be re-started.
How should these tasks be performed?
- A. Re-enable the dataflow, and it will automatically upload the missing files.
- B. Create a new dataflow and enable the backfill.
- C. Re-enable the dataflow and change the starting date to be the date that the dataflow was disabled
- D. Re-enable the dataflow and create one-time dataflows per missing file.
Answer: C
Explanation:
Explanation
Re-enable the dataflow and change the starting date to be the date that the dataflow was disabled. This will allow you to backfill the missing files without creating new dataflows
https://business.adobe.com/products/experience-platform/experience-data-model.html
NEW QUESTION # 35
After creating the Entity Relationship (Diagram (ERD) of the data sources that will be connected into an AEP implementation for a utility company, the service details (including information such as name, cost type, and category) appear multiple times across different entities (for example, in the transactional events and m the customer profile details).
When designing the XDM data model for that ERD, the data architect and the business stakeholders validate that the service details information must be included at both levels, record, and time series. The service details will be used multiple times within the same structure.
How should the service details be defined in the AEP data model to make it consistent and re-usable?
- A. Create a XDM Schema
- B. Create a XDM Class
- C. Create a Field Group
- D. Create a Data Type
Answer: B
NEW QUESTION # 36
A data engineer is ingesting time-series data in CSV format from a CRM system. The source data contains a
"subscription" field that contains what level of subscription the customer has purchased.
The data is ingested into a target field called "subscriptionLevel". which is an enum field that accepts the following values: "Lite*. "Standard", and "Pro''.
The data engineer knows that the CSV files contain some rows that do not conform to the above enum. Instead of rejecting those rows, the data engineer wants to transform non-conforming fields to "Standard".
Which mapping function(s) will accomplish this?
- A. iif(subscription.noiEquals(*Lite" || "Standard" || "Pro"), subscription, subscription, replacestrf
"Standard")) - B. iif(subscription.notEquals("Lite") || subscription.notEqualsl "Standard") || subscription.notEquatsCPro').
'Standard', subscription) - C. iif(subscription.equals("Lite") &&subscriptiorvequ3ls("Standard") && sub$ctiption.eqoals("Pro").
subscription. el$e("5tandard")) - D. iif(subscription.equals("Lite") || subscription.equals("Standard") || subscriptionequalsfPro").
subscription. "Standard")
Answer: B
Explanation:
Explanation
you can use Data Prep functions to compute and calculate values based on what is entered in source fields. The iif function returns one value if a condition is true and another value if it is false.
https://experienceleague.adobe.com/docs/experience-platform/data-prep/functions.html?lang=en
NEW QUESTION # 37
In an AEP implementation, an SFTP source setup performs daily imports. A marketer notices that the segment volumes linked to that data source have dropped in the last days. After a root cause analysis, it is identified that the dataflow that manages the SFTP import has been disabled by mistake.
The missing files must be ingested in AEP, and the daily import must be re-started.
How should these tasks be performed?
- A. Re-enable the dataflow, and it will automatically upload the missing files.
- B. Create a new dataflow and enable the backfill.
- C. Re-enable the dataflow and change the starting date to be the date that the dataflow was disabled
- D. Re-enable the dataflow and create one-time dataflows per missing file.
Answer: C
NEW QUESTION # 38
......
Adobe Experience Platform is a powerful tool that allows businesses to collect, unify, and activate customer data in real-time. The AD0-E600 certification exam is an excellent way for professionals to demonstrate their expertise with this platform and showcase their ability to design and implement data-driven solutions. By earning this certification, individuals can enhance their career prospects, increase their earning potential, and gain recognition as experts in their field.
Adobe AD0-E600 exam covers a wide range of topics related to the Adobe Experience Platform. This includes understanding the platform’s architecture, data model, and data ingestion process. It also includes understanding how to use Adobe’s Experience Data Model (XDM) to standardize and organize customer data. AD0-E600 exam also covers how to use Adobe’s Query Service to extract insights from customer data, and how to use Adobe’s Real-time Customer Profile to deliver personalized experiences.
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