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EGMP2201 Test Questions Answers, Updated EGMP2201 Testkings
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The EGMP2201 certification is highly respected in the GIS community and is recognized by employers as a mark of excellence in geospatial data management. Enterprise Geodata Management Professional 2201 certification is ideal for GIS professionals who are looking to advance their career in the field of geospatial data management. Enterprise Geodata Management Professional 2201 certification is also beneficial for organizations that want to ensure that their GIS professionals have the knowledge and skills necessary to manage geospatial data effectively.
Achieving the EGMP2201 Certification demonstrates to employers and clients that a professional has the skills and knowledge necessary to manage spatial data in an enterprise environment. Enterprise Geodata Management Professional 2201 certification can help professionals to advance their careers and gain recognition as experts in their field. It can also help organizations to identify and hire qualified professionals who can effectively manage their geospatial data assets.
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Esri Enterprise Geodata Management Professional 2201 Sample Questions (Q38-Q43):
NEW QUESTION # 38
A wells feature class has one row per well. A well_inspections table has one row for each time a well was inspected. All inspection dates need to be displayed as labels clustered around each well on the map.
Which kind of association should be used to meet this requirement?
- A. Relationship class
- B. Join
- C. Relate
Answer: C
Explanation:
Scenario Overview:
The wells feature class has one row per well.
The well_inspections table has one row for each inspection of a well.
Inspection dates from the well_inspections table need to be displayed as labels clustered around each well on the map.
The goal is to establish a connection between these two datasets without permanently joining them, as the data is being displayed dynamically (inspection dates are clustered around the wells).
Relates in Geodatabases:
A relate is a type of table association in which tables are linked by a common key field but remain separate.
Relates allow for dynamic queries to retrieve related records without duplicating or permanently associating the data.
Using a relate, you can query all inspection dates for a specific well dynamically, display them on the map as labels, and preserve the integrity of both the wells and inspections datasets.
(ArcGIS Documentation: Relates)
Alternative Options:
Option A: Join
A join merges two tables into one virtual table, based on a shared key. However, this approach is static and inappropriate for displaying dynamically clustered labels since the tables would need to be rejoined after every update.
Option C: Relationship Class
A relationship class is a more permanent association that enforces rules between two datasets. It is ideal for maintaining relationships between data but is unnecessary for dynamically labeling inspection dates on the map.
Thus, a relate is the most efficient and appropriate option for this scenario.
NEW QUESTION # 39
A GIS analyst needs to visualize a centralized folder of imagery with multiple images in ArcGIS Pro. The administrator needs to prepare for this imagery to be accessed across the organization within the enterprise geodatabase.
Which storage mechanism should be used?
- A. Raster catalog
- B. Raster dataset
- C. Mosaic dataset
Answer: C
Explanation:
Amosaic datasetis the most appropriate storage mechanism for visualizing and managing a centralized folder of imagery, especially when the imagery is to be accessed across an organization through an enterprise geodatabase.
1. What is a Mosaic Dataset?
* A mosaic dataset is a geodatabase structure optimized for managing and serving large collections of raster data, such as satellite imagery or aerial photographs.
* It provides dynamic mosaicking, rendering, and query capabilities.
2. Why Use a Mosaic Dataset?
* Centralized Management: A mosaic dataset can reference multiple images stored in a folder without duplicating the data, maintaining a centralized source of imagery.
* Scalability: It supports large collections of raster data and allows for efficient querying, rendering, and analysis.
* On-the-Fly Processing: Provides options to apply image processing and rendering rules without modifying the source data.
* Enterprise Access: Mosaic datasets stored in an enterprise geodatabase can be published as image services for access across the organization.
3. Why Not Other Options?
* Raster Dataset:
* This option is for storing a single image or raster layer in the geodatabase, not suitable for managing multiple images.
* Raster Catalog:
* Raster catalogs organize rasters but lack dynamic mosaicking, rendering, and query optimization capabilities. They are less efficient and are now considered outdated in favor of mosaic datasets.
Steps to Create and Use a Mosaic Dataset:
* OpenArcGIS Proand connect to the enterprise geodatabase.
* Create a new mosaic dataset using theCreate Mosaic Datasettool.
* Add rasters to the mosaic dataset using theAdd Rasters to Mosaic Datasettool, pointing to the centralized folder of imagery.
* Publish the mosaic dataset as an image service in ArcGIS Enterprise for organization-wide access.
References from Esri Documentation and Learning Resources:
* Mosaic Datasets Overview
* Managing Imagery with Mosaic Datasets
Conclusion:
Amosaic datasetprovides the best functionality for managing, visualizing, and sharing multiple images from a centralized folder within an enterprise geodatabase.
NEW QUESTION # 40
A GIS analyst creates a database view. When the database view is loaded into the map, performance is suboptimal.
Which workflow should the analyst use?
- A. Join to another feature class
- B. Register with geodatabase
- C. Export to shapefile
Answer: B
Explanation:
When a database view performs poorly in a map, registering it with the geodatabase can significantly improve performance.
1. Why Register with the Geodatabase?
* Registering a database view with the geodatabase integrates it into the geodatabase system, enabling:
* Proper use of spatial indexes.
* Optimization of queries by the geodatabase.
* Improved handling of large datasets by leveraging geodatabase-specific performance enhancements.
2. Why Not Other Options?
* Export to Shapefile:
* Shapefiles are a flat file format that lacks indexing and performance optimization. Using shapefiles is not suitable for complex queries or large datasets.
* Join to Another Feature Class:
* Joining data does not address the root cause of performance issues in the view and may further degrade performance if the join adds complexity.
Steps to Register a Database View with the Geodatabase:
* OpenArcGIS Proand connect to the database.
* Use theRegister with Geodatabasetool, specifying the database view.
* Configure the registration to include spatial indexes if the view contains spatial data.
* Save and test the performance of the registered view in a map.
Additional Notes:
* If the database view includes complex SQL logic, simplify the query if possible to further improve performance.
* Ensure that the underlying tables in the view are properly indexed.
References from Esri Documentation and Learning Resources:
* Registering Views with a Geodatabase
* Improving Map Performance with Views
Conclusion:
Registering the database view with the geodatabase enables spatial indexing and geodatabase optimization, addressing performance issues and ensuring efficient rendering and querying.
NEW QUESTION # 41
A GIS data administrator needs to load a large amount of data into a version, verify its quality, and then reconcile and post this version to default. The data administrator needs to create the fewest number of rows in the database.
Which versioning method should be used?
- A. Traditional versioning without the archiving option
- B. Traditional versioning with the archiving option
- C. Branch versioning
Answer: A
Explanation:
To minimize the number of rows created in the database while performing versioning workflows (loading, quality checking, reconciling, and posting),Traditional versioning without the archiving optionis the best choice.
1. Traditional Versioning Without Archiving
* This method stores edits indelta tables(Adds and Deletes) rather than directly in the base table.
* Without the archiving option, the system does not create additional rows to track historical changes, which helps reduce the number of rows.
2. Why It's Ideal for This Workflow
* Load Data: Data is directly inserted into the delta tables, keeping base tables untouched.
* Quality Verification: Edits can be reviewed and adjusted without additional overhead.
* Reconcile and Post: Only the changes made during the session are pushed to thedefault version, and unnecessary rows are avoided.
3. Why Not Other Options?
* Traditional Versioning with Archiving Option:
* Archiving tracks historical changes, creating additional rows for each edit in the archive tables.
This increases storage and processing overhead.
* Branch Versioning:
* Branch versioning stores all changes in a single table and is designed for web services workflows.
It may not minimize row creation compared to traditional versioning.
Steps for the Workflow:
* EnableTraditional Versioningfor the target dataset without enabling archiving.
* Load the large dataset into a new version created for this purpose.
* Verify the data quality by querying and editing the version.
* Reconcile the version with the default version, resolve conflicts, and post changes to default.
References from Esri Documentation and Learning Resources:
* Understanding Traditional Versioning
* Archiving in Enterprise Geodatabases
* Branch Versioning vs. Traditional Versioning
Conclusion:
UsingTraditional versioning without the archiving optionensures the creation of the fewest number of rows while maintaining data integrity and supporting the described workflow.
NEW QUESTION # 42
An organization has ArcGIS Enterprise. A new project requires versioned editing with the ability to show which user deleted a feature from the default version.
Which editing workflow should be used?
- A. Branch versioned editing
- B. Traditional versioned editing
- C. Nonversioned editing
Answer: A
Explanation:
Scenario Overview:
* The organization hasArcGIS Enterpriseand requires versioned editing.
* The project mandates tracking which user deleted a feature from thedefault version.
Why Branch Versioned Editing?
* Branch versioningsupports versioned editing workflows and integrates seamlessly witheditor tracking
, including operations like tracking who deleted a feature.
* It is ideal for web-based workflows inArcGIS Enterpriseand allows for direct interaction with feature services.
* The default version remains accessible for analysis while enabling the organization to track user edits, including feature deletions.(ArcGIS Documentation: Branch Versioning) Alternative Options:
* Option B: Traditional versioned editingsupports versioned workflows but does not inherently track who deletes features unless additional workflows are implemented (e.g., custom fields or triggers).
* Option C: Nonversioned editingdoes not support versioning workflows or user tracking.
Thus,branch versioned editingis the best workflow to support versioned editing while tracking deleted features.
NEW QUESTION # 43
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