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ESRI EGMP2201(Enterprise Geodata Management 2201)認證考試是由世界領先的GIS軟件提供商ESRI提供的專業認證計劃。該認證計劃是專為專業從事企業Geodata管理的專業人員而設計的,並希望驗證其在該領域的專業知識。認證考試涵蓋了一系列主題,包括數據庫設計,數據建模,數據質量控制,數據安全和數據共享。
最新的 ArcGIS Enterprise EGMP2201 免費考試真題 (Q18-Q23):
問題 #18
A data owner creates a one-way replica parent-to-child for a single feature class to share data from a production geodatabase to a public-facing geodatabase.
* The data owner synchronizes once a week to share updated data
* In time, the data owner wants to add a new attribute field/field type and calculates new attribute values
* The data owner synchronizes the replicas, but the new field and values are not present in the child replica
* In the public-facing geodatabase, the data owner adds the same attribute field and field type
* The data owner synchronizes the replicas again, and the values are not replicated in the child replica How should the data owner resolve this issue?
- A. Unregister the replica pairs, run Feature Compare and Synchronize Changes
- B. Unregister the replica pair?, run Enable Replica Tracking and Synchronize Change?
- C. Unregister the replica pairs, recreate the replica, and Synchronize Changes
答案:C
解題說明:
Scenario Overview:
* A one-way replica from parent to child geodatabase is created for a single feature class.
* The data owner adds anew attribute fieldin the parent geodatabase, calculates values, and attempts to synchronize the replica.
* The new field and its values do not appear in the child replica, even after manually adding the field to the child geodatabase.
Why Recreate the Replica?
* The issue arises becauseschema changes(e.g., adding new fields) are not automatically propagated in one-way replication workflows. Synchronization only applies to data changes, not schema updates.
* To ensure the schema changes are recognized, thereplica pair must be recreatedwith the updated schema.(ArcGIS Documentation: Geodatabase Replication and Schema Changes) Steps to Resolve the Issue:
* Unregister the Replica:Remove the existing replica pair from both the parent and child geodatabases.
* Recreate the Replica:Create a new one-way replica between the parent and child geodatabases. This new replica will include the updated schema.
* Synchronize Changes:Perform synchronization to transfer data, including the new field and calculated values, to the child geodatabase.
Alternative Options:
* Option A:Enabling replica tracking does not address schema synchronization and would not resolve the issue.
* Option B:Running Feature Compare is helpful for analyzing schema differences but does not propagate schema changes.
Thus, the data owner mustunregister the replica pairs, recreate the replica with the updated schema, and synchronize changesto resolve the issue.
問題 #19
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. Contingent values
- B. Subtypes with domains
- C. Domains
答案:A
解題說明:
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.
問題 #20
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
答案:C
解題說明:
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.
問題 #21
AGIS analyst who usesArcGIS Pro needs to reload data into a versioned feature class stored in a feature dataset. The feature class participates in a geodatabase topology.
Which steps should the GIS analyst take?
- A. Delete all rows in the feature class and load data using Append
- B. Delete all rows in the feature class and load data using Load Objects
- C. Run the Truncate Table tool and load data using Append
答案:C
解題說明:
Understanding the Scenario:
* The feature class is versioned and participates in a geodatabase topology.
* The goal is to reload data while maintaining versioning and topology integrity.
Key Considerations for Reloading Data:
* Truncate Table:TheTruncate Tabletool efficiently deletes all rows in the feature class without logging individual row deletions in the geodatabase. It is the preferred method for clearing data while minimizing impact on performance.
* Append Tool:After truncating the table, theAppendtool can load new data into the feature class, ensuring that the topology and versioning structure remain intact.
* Avoiding Delete Rows:Deleting rows manually logs each deletion in delta tables, leading to a potential performance bottleneck and unnecessary transaction logging, especially for versioned datasets.
* Geodatabase Topology Consideration:Topology rules will need to be validated after reloading the data to ensure spatial integrity.
Steps to Reload Data:
* Use theTruncate Tabletool to remove existing records.
* Use theAppendtool to load the new data into the feature class.
* Validate the topology in the geodatabase to check for any errors after the reload.
References:
* Esri Documentation: Truncate Table.
* Loading Data into Versioned Feature Classes: Best practices for versioned and topology-aware datasets.
Why the Correct Answer is A:Running theTruncate Tabletool ensures efficient data clearing, and using the Appendtool maintains the geodatabase's versioning and topology structure. Options B and C involve unnecessary row-level deletions, which are inefficient and could disrupt the versioned workflow.
問題 #22
A GIS administrator learns that geodatabase users report decreasing performance when adding data from child versions to their map.
* The organization uses a complex traditional version tree architecture
* Python script completes batch-reconcile/post operations, compresses the geodatabase, and data owners rebuild indexes and update statistics
* Python script runs overnight with little to no geodatabase connections being made Which Analyze Datasets parameter should be checked?
- A. Analyze Base Tables For Selected Datasets
- B. Include System Tables
- C. Analyze Archive Tables For Selected Datasets
答案:A
解題說明:
When users experience performance issues while adding data from child versions in a complex traditional version tree, it often indicates problems with thebase tables. TheAnalyze Base Tables For Selected Datasets parameter is the most relevant in this case.
1. Role of Base Tables in Traditional Versioning
* In traditional versioning, thebase tablestores the original data for the feature class or table. Changes made in child versions are tracked in delta tables (Adds and Deletes).
* If the base table is not optimized (e.g., outdated statistics, fragmented indexes), performance can degrade when querying or rendering data.
2. Why Analyze Base Tables?
* TheAnalyze Base Tables For Selected Datasetsparameter evaluates and updates the database statistics for the base tables to improve query optimization.
* This process ensures the database query optimizer can make efficient decisions when retrieving data.
3. Why Not Other Options?
* Include System Tables:
* This analyzes geodatabase system tables, which are crucial for administrative tasks but unrelated to performance issues with user datasets.
* Analyze Archive Tables For Selected Datasets:
* This is specific to datasets with archiving enabled. There is no mention of archiving being used in this scenario.
Steps to Analyze Base Tables:
* OpenArcGIS Proor use a Python script with theAnalyze Datasetstool.
* Specify the datasets with performance issues.
* Select theAnalyze Base Tables For Selected Datasetsparameter.
* Run the tool and monitor the updated statistics.
References from Esri Documentation and Learning Resources:
* Analyze Datasets Tool
* Improving Query Performance
Conclusion:
TheAnalyze Base Tables For Selected Datasetsparameter should be used to update statistics and improve performance when adding data from child versions in traditional versioning.
問題 #23
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