EGMP2201 Valid Exam Vce & Pass EGMP2201 Guarantee
EGMP2201 Valid Exam Vce & Pass EGMP2201 Guarantee
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To prepare for the Esri EGMP2201 Certification Exam, candidates can take advantage of Esri's training courses and resources. Esri offers a range of courses that cover the topics tested in the exam, including database design, data modeling, data quality control, data security, and data sharing. Candidates can also take practice exams to assess their knowledge and identify areas where they need to improve.
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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q27-Q32):
NEW QUESTION # 27
A user accidentally deletes an enterprise geodatabase feature dataset.
Which technology should be used to resolve the issue?
- A. Archiving
- B. Backup
- C. High availability
Answer: B
Explanation:
Understanding the Scenario:
* An enterprise geodatabase feature dataset is accidentally deleted.
* The organization needs to recover the dataset to its original state.
Available Technologies:
* High Availability:High availability setups (e.g., failover systems) ensure continuous access to geodatabases during hardware or software failures. However, high availability does not restore accidentally deleted data.
* Backup:A backup is a snapshot of the geodatabase taken at a specific point in time. It allows administrators to restore deleted datasets or recover from data loss scenarios.
* Archiving:Archiving tracks historical edits in versioned geodatabases but does not provide recovery for accidentally deleted datasets.
Steps to Recover the Dataset:
* Identify the most recent backup of the enterprise geodatabase.
* Restore the geodatabase or extract the specific feature dataset from the backup.
* Verify the restored data and synchronize it with ongoing updates if necessary.
References:
* Esri Documentation: Backup and Restore.
* Best Practices for Data Protection: Guidelines for implementing regular backups to prevent data loss.
Why the Correct Answer is B:A backup is the most reliable solution for recovering an accidentally deleted feature dataset. High availability ensures uptime but does not address data recovery, and archiving tracks edits rather than preserving entire datasets.
NEW QUESTION # 28
A GIS data administrator needs to store color, model, and size attributes for different kinds of valves. Pick lists should only show permitted combinations of color, model, and size.
Which geodatabase capability should be configured?
- A. Domains
- B. Subtypes with domains
- C. Contingent values
Answer: C
Explanation:
Scenario Overview:
* The administrator needs to store attributes for valves (e.g., color, model, and size).
* Pick listsmust display only valid combinations of these attributes.
Why Contingent Values?
* Contingent valuesallow geodatabases to enforce specific, dependent attribute combinations.
* For example, if certain sizes are only valid for specific models and colors, contingent values ensure only permitted combinations are displayed in pick lists.(ArcGIS Documentation: Contingent Values) How Contingent Values Work:
* Attribute domains are defined for individual fields (e.g., color, model, size).
* Contingent value rules are configured to establish relationships between the fields, restricting invalid combinations.
* When editing data, pick lists dynamically adjust based on contingent value rules, showing only valid options.
Alternative Options:
* Option A: Domains
* Attribute domains enforce constraints on individual fields but cannot define dependencies between fields.
* Option B: Subtypes with domains
* Subtypes group features into categories with distinct domain rules but do not support interdependent attribute combinations.
Thus,contingent valuesare the appropriate geodatabase capability to configure pick lists for valid attribute combinations.
NEW QUESTION # 29
Multiple editors in a web application need to collaboratively edit the same dataset using the following requirements:
* Each editor works in isolation until they come to a good stopping point
* The editor shares their edits with the other editors at this point
* The editor again goes into isolation to continue editing until the next stopping point is reached
* At any point, an editor can choose to see the edits that other editors have shared without sharing their own edits How should the dataset be registered?
- A. Branch versioned
- B. Traditional versioned with editor tracking enabled
- C. Traditional versioned with the option to move edits to base
Answer: A
Explanation:
Scenario Overview:
* Multiple editors need tocollaboratively editthe same dataset using a web application.
* Requirements:
* Editors work inisolationuntil they reach a stopping point.
* Edits are shared with others at the stopping point.
* Editors can view shared edits without sharing their own.
Branch Versioning in Enterprise Geodatabases:
* Branch versioning is specifically designed for collaborative editing inweb-based workflows.
* It supportsisolated editingby creating branches for each editor and allows users to reconcile and post changes at their discretion.
* Editors canchoose to reconcile shared changes without posting their own edits, fulfilling the requirement to view shared edits without sharing their own.(ArcGIS Documentation: Branch Versioning) Key Features of Branch Versioning:
* Supports Web Applications:Designed to work seamlessly with feature services, enabling real-time collaborative editing.
* Isolation:Each editor can edit independently in their branch.
* Reconciliation:Editors can reconcile and view changes made by others without posting their edits.
* Flexible Sharing:Editors control when to post edits.
Alternative Options:
* Option B: Traditional versioned with editor tracking enabled:
* Traditional versioning supports isolated editing, but it does not provide the flexibility to view shared changes without posting your own edits.
* It is also not as well-suited for web-based collaborative workflows.
* Option C: Traditional versioned with the option to move edits to base:
* Moving edits to base bypasses versioning workflows entirely and is not designed for collaborative editing.
Thus,branch versioningis the optimal solution for the requirements of this collaborative editing workflow in a web application.
NEW QUESTION # 30
A GIS analyst creates a join relationship between a large dataset and a nonspatial table to calculate an attribute field. Upon building the join, the analyst receives an error message stating that the join field <value> in the join table <value> is not indexed.
Which tool should the analyst run?
- A. Rebuild Indexes
- B. Add Spatial Index
- C. Add Attribute Index
Answer: C
Explanation:
Scenario Overview:
* The analyst creates a join between a large dataset and a nonspatial table to calculate an attribute field.
* An error occurs, indicating that the join field is not indexed.
Cause of the Problem:
* Joins between datasets rely on indexed fields to optimize the join operation. Without an index, the system must perform a full table scan, which can lead to errors or slow performance when working with large datasets.
Solution:
* Running theAdd Attribute Indextool creates an index on the join field, enabling efficient joining operations.(ArcGIS Documentation: Attribute Indexes) Steps to Resolve:
* Open theAdd Attribute Indextool in ArcGIS Pro.
* Select the nonspatial table as the input dataset.
* Choose the field used in the join operation as the field to index.
* Run the tool to create the attribute index.
Alternative Options:
* Option A:Add Spatial Index is irrelevant for nonspatial data.
* Option C:Rebuild Indexes reorganizes existing indexes but cannot create new ones, which is required here.
Thus, the analyst should run theAdd Attribute Indextool to resolve the error.
NEW QUESTION # 31
An organization has a web service that must always be available. This service reads data from a feature class in an enterprise geodatabase. The GIS administrator needs to update the schema of the feature class.
Which workflow should be used?
- A. Disable schema locking on the service
- B. Run the Alter Field geoprocessing tool
- C. Delete the spatial index
Answer: A
Explanation:
Scenario Overview:
* The organization has a web service thatmust always be available.
* The service reads data from afeature classin an enterprise geodatabase.
* The GIS administrator needs to update theschemaof the feature class.
Why Disable Schema Locking?
* By default, ArcGIS services enforceschema lockingto ensure data consistency while the service is active. This prevents any modifications to the feature class schema (e.g., adding fields, altering attributes) while the service is running.
* Disabling schema locking allows schema updates to occur without disrupting the service's availability.
(ArcGIS Documentation: Schema Locking)
Steps to Disable Schema Locking:
* Access the ArcGIS Server Manager.
* Locate the web service and open itsservice properties.
* In the advanced settings, disable theschema lockingoption.
* Perform the required schema updates (e.g., adding fields or modifying the feature class).
* Re-enable schema locking if necessary for normal operation.
Alternative Options:
* Option B: Run the Alter Field geoprocessing tool
* This tool modifies fields but cannot execute schema changes while schema locks are active.
* Option C: Delete the spatial index
* Deleting the spatial index is unrelated to schema changes and could degrade query performance.
Thus, the correct workflow is todisable schema locking on the serviceto allow schema changes without disrupting the web service.
NEW QUESTION # 32
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