Vce EGMP2201 Questions Latest

 Understanding the Scenario:

A user saves a connection file withread/write credentialsand creates layer files for visualization.

Viewers access these layer files, potentially exposing the saved credentials.

 Key Issue with the Workflow:

Saved Credentials in Connection File:Connection files can store usernames and passwords for convenience, but when shared, the credentials grant others the same level of access as the original user.

Impact of Read/Write Credentials:Viewers can inadvertently perform edits (e.g., add/delete fields or modify data) because the layer files inherit the permissions of the stored connection file.

 Steps to Resolve the Issue:

Avoid saving credentials in the connection file or use a connection withread-only accessfor shared layers.

Use proper publishing workflows to share layers with predefined permissions via feature or map services.

 References:

Esri Documentation: Sharing Layer Files.

Managing User Access in ArcGIS: Best practices for securing connection files and controlling access levels.

 Why the Correct Answer is C:Sharing layer files with stored credentials inadvertently grants viewers the same level of access as the user who created the connection file. This results in viewers being able to perform edits, violating intended data security policies.

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.

For a large government organization requiring an equivalent data presence in a standby data center,database replicationis the ideal solution.

1. What is Database Replication?

Database replication involves duplicating data from a primary database to a secondary database in near real-time or on a scheduled basis.

This ensures that both databases are synchronized and capable of serving data if one fails.

2. Why Database Replication Fits the Requirement

Standby Data Center: Database replication provides a fully equivalent copy of the data in the secondary data center.

High Availability and Disaster Recovery: If the primary database is unavailable, the standby database can immediately take over, ensuring business continuity.

3. Why Not Other Options?

Geodatabase Replication:

While it is designed for replicating geodatabase content, it is typically used for GIS-specific workflows, such as syncing field edits. It does not ensure equivalence for non-spatial components of the database.

It is not ideal for large-scale, organization-wide replication needs.

Disconnected Synchronization:

This is used in offline editing workflows where devices sync their edits with a central database at a later time. It is not suitable for maintaining an equivalent standby database.

4. Types of Database Replication

Asynchronous Replication: Updates are replicated at scheduled intervals, offering flexibility but with slight delays.

Synchronous Replication: Updates occur in real-time, ensuring both databases are always identical.

Steps to Implement Database Replication:

Configure the primary and standby databases in the organization’s DBMS (e.g., SQL Server, PostgreSQL, Oracle).

Use the DBMS's built-in replication tools (e.g., SQL Server's Always On, PostgreSQL’s Streaming Replication).

Set up monitoring to ensure the replication process is functioning correctly.

References from Esri Documentation and Learning Resources:

Database Replication in DBMS

Disaster Recovery with Database Replication

Conclusion:

Database replicationis the recommended technology to establish an equivalent data presence in a standby data center, ensuring high availability and disaster recovery.

Scenario Overview:

Users experienceslowing performanceacross the geodatabase, particularly for edits and drawing when adding 10,000 records.

The organization performs weekly maintenance tasks:

Rebuilding indexes and statistics

Compressing the geodatabase

Removing orphaned connections

Why Reconcile and Post Versions?

Slow performance in traditional versioning often results from excessive unreconciled versions and a bloatedstate tree.

Reconciling and posting versions reduces the number of states, enabling geodatabase compression to fully collapse redundant states and improve performance.(ArcGIS Documentation: Reconcile and Post)

Alternative Options:

Option A: Change to use Default version

This bypasses versioning workflows and does not address the root cause of performance degradation.

Option B: Update records via Python

Using Python to update records does not resolve issues caused by unreconciled versions or state tree inefficiencies.

Thus, the correct action is toreconcile and post versions, ensuring the geodatabase state tree is optimized and performance is restored.