Esri Enterprise Geodata Management Professional 2201 EGMP2201 Dumps in PDF

Free Esri EGMP2201 Real Questions (page: 11)

A GIS data administrator frequently changes the map based on definition queries. A noticeable lag occurs when changing the parameter value of the definition query.
Which action should be taken?

  1. Add Attribute Index
  2. Add Spatial Index
  3. Recalculate Extent

Answer(s): A

Explanation:

Scenario Overview:
The GIS data administrator is experiencing lag when changing the parameter value of a definition query.
Definition queries dynamically filter data based on attribute values. Slow performance often indicates inefficient attribute searches.
Solution: Add Attribute Index
An attribute index allows the database to quickly locate rows based on values in the indexed column, significantly improving query performance.
When definition queries rely on non-indexed fields, the database must scan the entire dataset to filter records, leading to noticeable delays.
By creating an attribute index on the fields used in the definition query, the database can optimize filtering, reducing lag.
(ArcGIS Documentation: Attribute Indexes)
Steps to Add Attribute Index:
In ArcGIS Pro, open the Attribute Indexes tool.
Select the feature class or table used in the definition query. Specify the field(s) that the definition query is based on.
Click Run to create the index.
Alternative Options:
Option B: Add Spatial Index
Spatial indexes optimize spatial queries (e.g., finding features within an area). This does not address attribute-based definition query lag.
Option C: Recalculate Extent
Recalculating the extent corrects boundary discrepancies in spatial datasets but has no impact on attribute query performance.
Thus, adding an attribute index is the correct action to resolve lag in definition queries.



A GIS data manager observes that editors spend multiple hours resolving conflicts when they reconcile.
- Conflicts are detected by attribute
- Traditional versioning is being used
- The geodatabase is being compressed weekly
- Versions are reconciled and posted weekly
Which change will result in fewer conflicts?

  1. Detect conflicts by object
  2. Compress the geodatabase daily
  3. Reconcile and post versions daily

Answer(s): C

Explanation:

Scenario Overview:

Editors are spending multiple hours resolving conflicts during reconciliation.
Key points:
Conflicts are detected by attribute (not by object).
Traditional versioning is used.
Weekly compression and weekly reconcile/post workflows are in place.
Why Reconcile and Post Daily?

Conflicts occur when multiple editors make overlapping edits. The longer versions remain unreconciled, the more conflicts accumulate, leading to time-consuming resolution. Daily reconciliation and posting minimizes the number of changes between the parent and child versions, reducing the likelihood and volume of conflicts.
(ArcGIS Documentation: Reconcile and Post)
Key Benefits of Daily Reconciliation:

Fewer Changes to Compare: With fewer edits accumulated in each version, conflict detection is faster.
Less Complex Conflicts: Simplifies resolution since changes are smaller and more recent. Improved Editor Productivity: Editors spend less time resolving conflicts, freeing up time for other tasks.
Alternative Options:

Option A: Detect conflicts by object
While this may reduce conflict granularity, it can lead to overwriting valid edits at the object level, which may not be acceptable in collaborative workflows.
Option B: Compress the geodatabase daily
Compression reduces the state tree and improves performance but does not directly reduce the number of conflicts during reconciliation.
Therefore, implementing daily reconciliation and posting is the most effective way to reduce conflicts and improve editing efficiency.



AGIS data administrator is creating new feature classes within an enterprise geodatabase using the following workflow:
- Five feature classes are added to a feature dataset - The feature dataset is registered as versioned without the move-edits-to-base option - Then another feature class is added to the same feature dataset Users receive error messages when trying to edit any of the feature classes within the feature dataset.
What should the administrator do?

  1. Unregister as versioned on the feature dataset and then register as versioned again
  2. Register as versioned on the feature dataset one additional time
  3. Switch the editing workflow to versioned editing with the move-edits-to-base option

Answer(s): A

Explanation:

Scenario Overview:
Five feature classes are added to a feature dataset, which is registered as versioned without the move-edits-to-base option.
Afterward, another feature class is added to the same feature dataset. Users encounter errors when trying to edit any feature class in the feature dataset.
Cause of the Problem:
When a feature dataset is registered as versioned, all feature classes within it must maintain consistency in their versioning state. Adding a new feature class to a previously versioned feature dataset can disrupt the synchronization, causing errors during editing.
Solution:
Unregister as versioned on the feature dataset: This removes versioning from all feature classes in the dataset, resetting their versioning state.
Register the feature dataset as versioned again: This ensures all feature classes, including the newly added one, are correctly registered with the same versioning state. (ArcGIS Documentation: Registering Datasets as Versioned) Alternative Options:
Option B: Registering the feature dataset again would not resolve the issue because versioning conflicts persist unless the entire feature dataset is unregistered and re-registered. Option C: Switching to the move-edits-to-base option is unnecessary and alters the editing workflow, which may not align with the current setup or user needs. Thus, the administrator should unregister the feature dataset as versioned and re-register it to resolve the errors.



All editors reconcile and post their versions daily. Other users create read-only versions for analysis purposes, so they do not reconcile and post those versions. The geodatabase administrator compresses the geodatabase nightly. For several months, performance steadily worsens.

Which action should be taken?

  1. Reconcile the read-only versions
  2. Create a database view
  3. Disable editor tracking

Answer(s): A

Explanation:

Scenario Overview:

Editors reconcile and post daily, but read-only versions created for analysis are not reconciled or posted.
The geodatabase is compressed nightly, but performance continues to degrade.
Cause of the Problem:

Unreconciled versions, including read-only ones, persist in the state tree, preventing the geodatabase compression from fully collapsing unused states. Over time, this results in a bloated state tree and worsened performance.
Solution:

Reconciling and posting the read-only versions ensures that the state tree is cleared of unnecessary versions, enabling compression to collapse the database to its optimal state.
(ArcGIS Documentation: Reconcile and Post)
Alternative Options:

Option B: Creating a database view provides a read-only representation of data but does not address the underlying issue of unresolved states in the state tree. Option C: Disabling editor tracking is unrelated to state tree performance issues and has no impact on the reconciliation or compression processes.
Therefore, reconciling the read-only versions will significantly improve performance.



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?

  1. Add Spatial Index
  2. Add Attribute Index
  3. Rebuild Indexes

Answer(s): B

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 the Add Attribute Index tool creates an index on the join field, enabling efficient joining operations.
(ArcGIS Documentation: Attribute Indexes)
Steps to Resolve:

Open the Add Attribute Index tool 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 the Add Attribute Index tool to resolve the error.



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A
AI Tutor Explanation
5/10/2026 12:51:57 AM

Which statement is true about using default environment variables? The environment variables can be read in workflows using the ENV: variable_name syntax. The environment variables created should be prefixed with GITHUB_ to ensure they can be accessed in workflows The environment variables can be set in the defaults: sections of the workflow The GITHUB_WORKSPACE environment variable should be used to access files from within the runner.
Correct answer: The statement "The GITHUB_WORKSPACE environment variable should be used to access files from within the runner." is true.
Why the others are false:

  • ENV: variable_name syntax is not how you read env vars in workflows. Use ${{ env.VARIABLE }} in expressions or $VARIABLE in a shell.
  • Environment variables don’t need a GITHUB_ prefix. Custom vars can have any name; GITHUB_ is only for built-in, predefined vars.
  • defaults: cannot set environment variables. It configures defaults for run steps (like shell or working-directory), not env vars.

Extra tip:
  • GITHUB_WORKSPACE (or ${{ github.workspace }}) is the root path on the runner where the repository is checked out. Use it to access files, e.g., $GITHUB_WORKSPACE/... or ${{ github.workspace }}/....

A
AI Tutor Explanation
5/7/2026 11:34:48 PM

As an administrator for this subscription, you have been tasked with recommending a solution that prohibits users from copying corporate information from managed applications installed on unmanaged devices. Which of the following should you recommend? Windows Virtual Desktop. Microsoft Intune. Windows AutoPilot. Azure AD Application Proxy.

  • Microsoft Intune

Reason: Intune can enforce app protection policies (MAM) on managed apps, even on unmanaged devices, to prevent data leakage (e.g., restricting copy/paste, saving to non-approved apps, etc.). The other options don’t address data protection within apps on unmanaged devices.

A
AI Tutor Explanation
5/4/2026 2:43:10 AM

Question 34:

  • Question 34 asks: Which role(s) has the capability to create Policies? Choose two.
  • Likely correct roles: Compliance Manager and Compliance admin (A and B). These roles typically have policy governance rights to create and manage policies.
  • Why not the others: Compliance User is usually a limited user, not allowed to create policies. Risk Manager focuses on risks, not policy creation in standard setups.
  • Note on the provided key: The answer shown is “C” (Compliance User), which conflicts with “Choose two.” This is probably a key error. In practice, verify against your instance’s ACLs or official docs.
  • Quick check tip: In ServiceNow, review the ACLs and role permissions for the Policy records to see which roles can create policies.

A
AI Tutor Explanation
4/29/2026 11:59:58 PM

function of appnav in sdwan

  • AppNav (Application Navigation) is the Cisco SD-WAN feature that provides application-level visibility and control.
  • It maintains a catalog of applications (AppIDs) with attributes (ports/protocols, categories) and classifies traffic accordingly.
  • It allows policy authors to reference apps by name in policies, enabling application-aware routing, QoS, and service chaining based on the app’s requirements.
  • The SD-WAN fabric uses AppNav data to steer traffic along the best path, improving user experience for critical apps while optimizing WAN usage.

A
AI Tutor Explanation
4/29/2026 5:25:25 AM

Question 1:

  • Correct answer: C. Extract the hardware ID information of each computer to a CSV file and upload the file from the Microsoft Intune admin center.

  • Why this is correct

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AI Tutor Explanation
4/29/2026 5:23:14 AM

Question 5:

  • Correct answer: A. User4 and User1 only

  • Why this is correct:
- The Automatic Enrollment setting in Intune has MDM user scope: GroupA. Only users in GroupA can enroll devices via MDM auto-enrollment. - Device6 will be enrolled via Windows Autopilot and Intune, so enrollment is allowed only for users in GroupA. - Based on the group memberships in the scenario, User4 and User1 are in GroupA, while User2 and User3 are not. Therefore only User4 and User1 can enroll Device6.
  • Quick tip for the exam:
- Remember: MDM user scope determines who can auto-enroll devices; MAM scope controls app protection enrollment. When a new Autopilot device is enrolled, the signing-in user must be in the MDM scope.

A
AI Tutor Explanation
4/29/2026 5:17:10 AM

Why this is correct

  • Correct answer: C. Extract the hardware ID information of each computer to a CSV file and upload the file from the Microsoft Intune admin center.

  • Why this is correct:
- Windows Autopilot requires devices to be registered by their hardware IDs (hash) before Autopilot can deploy Windows 10 Enterprise. - Collect the hardware IDs from the new Phoenix machines, save them in a CSV, and upload that CSV in the Intune/Windows Autopilot area. This maps each device to an Autopilot deployment profile. - After registration, you can assign Autopilot profiles (Windows 10 Enterprise, etc.). Other options (serial number CSV, generalizing, or Mobility settings) are not the initial Autopilot registration steps.

A
AI Tutor Explanation
4/25/2026 1:53:46 PM

Question 7:

  • Correct answer: B — A risk score is computed based on the number of remediations needed compared to the industry peer average.

Explanation:
  • Risk360 uses a remediation-based score. It benchmarks how many actions are required to fix issues against peers, giving a relative risk posture.
  • Why not the others:
- A: Not just total risk events by location. - C: Time to mitigate isn’t the primary scoring method. - D: Not a four-stage breach scoring approach.
Note: The page text shows a mismatch (it lists D as the answer), but the study guide describes the remediation-based scoring (B) as the correct concept.

A
AI Tutor Explanation
4/25/2026 1:42:20 PM

Question 104:

  • Correct answer: D) Multi-Terabyte (TB) Range

  • Brief explanation:
- clustering keys organize data into micro-partitions to improve pruning when queries filter on those columns. - The performance benefit is most significant for very large tables; for small tables the overhead of maintaining clustering outweighs gains. - Therefore, as a best practice, define clustering keys on tables at the TB scale.

C
Community Helper
4/25/2026 2:03:10 AM

Q23: Fabric Admin is correct. Because Domain admin cannot create domains. Only Fabric Admin can among the given options. Q51: Wrapping @pipeline.parameter.param1 inside {} will return a string. But question requires the expression to return Int, so correct answer should be @pipeline.parameter.param1 (no {})

A
AI Tutor Explanation
4/23/2026 3:07:03 PM

Question 62:

  • Correct answer: D (per the page)

  • Note: The explanation text on the page describes option B (use ZDX score and Analyze Score to trigger the Y Engine analysis), indicating a mismatch between the stated answer and the rationale.

  • Key concept: For fast root-cause analysis, leverage telemetry and auto-correlated insights:
- Use the user’s ZDX score for AWS and run Analyze Score to activate the Y Engine, which correlates metrics across network, client, and application to pinpoint the issue quickly.
  • Why the other options are less effective:
- A: Only checks for outages; doesn’t provide actionable root-cause analysis. - C: Deep Trace helps visibility but is manual and time-consuming. - D: Packet capture is invasive and slow; not the quickest path to root cause.

A
AI Tutor Explanation
4/23/2026 12:26:21 PM

Question 32:

  • Answer: A (2.4GHz)

  • Why: Lower-frequency signals have longer wavelengths and experience less attenuation when passing through walls and obstacles. Higher frequencies (5GHz, 6GHz) are more easily blocked by walls. NFC operates over very short distances and is not meant to penetrate walls. So 2.4 GHz best penetrates physical objects like walls.

A
AI Tutor Explanation
4/21/2026 8:48:36 AM

Question 3:

  • False is the correct answer (Option B).

Why:
  • In Snowflake, a database is a metadata object that exists within a single Snowflake account. Accounts are isolated—there isn’t one database that lives in multiple accounts.
  • You can access data across accounts via data sharing or database replication, but these create separate database objects in the other accounts (e.g., a database in the consumer account created from a share), not a single shared database across accounts.

So a single database cannot exist in more than one Snowflake account.

A
Anonymous User
4/16/2026 10:54:18 AM

Question 1:

  • Correct answer: Edate = sys.argv[1]
  • Why this is correct:
- When a Databricks Job passes parameters to a notebook, those parameters are supplied to the notebook's Python process as command-line arguments. The first argument after the script name is sys.argv[1], so date = sys.argv[1] captures the passed date value directly.
  • How it compares to other options:
- date = spark.conf.get("date") reads from Spark config, not from job parameters. - input() waits for user input at runtime, which isn’t how job parameters are provided. - date = dbutils.notebooks.getParam("date") would work if the notebook were invoked via dbutils.notebook.run with parameters, not

A
Anonymous User
4/15/2026 4:42:07 AM

Question 528:

  • Correct answer: NSG flow logs for NSG1 (Option B)

  • Why:
- Traffic Analytics uses NSG flow logs to analyze traffic patterns. You must have NSG flow logs enabled for the NSGs you want to monitor. - An Azure Log Analytics workspace is also required to store and query the traffic data. - Network Watcher must be available in the subscription for traffic analytics to function.
  • What to configure (brief steps):
- Ensure Network Watcher is enabled in the East US region (for the subscription/region). - Enable NSG flow logs on NSG1. - Ensure a Log Analytics workspace exists and is accessible (read/write) so Traffic Analytics can store and query logs.
  • Why other options aren’t correct:
- “Diagnostic settings for VM1” or “Diagnostic settings for NSG1” alone don’t guarantee flow logs are captured and sent to Log Analytics, which Traffic Analytics relies on. - “Insights for VM1” is not how Traffic Analytics collects traffic data.

A
Anonymous User
4/15/2026 2:43:53 AM

Question 23:
The correct answer is Domain admin (option B), not Fabric admin.

  • Domain admin provides domain-level management: create domains/subdomains and assign workspaces within those domains, which matches the tasks while following least privilege.
  • Fabric admin is global-level access and is more privileges than needed for this scenario (it would grant broader control across the Fabric environment).

A
Anonymous User
4/14/2026 12:31:34 PM

Question 2:
For question 2, the key concept is the Longest Prefix Match. Routers pick the route whose subnet mask is the most specific (largest prefix length) that still matches the destination IP.
From the options:

  • A) 10.10.10.0/28 ? 10.10.10.0–10.10.10.15
  • B) 10.10.13.0/25 ? 10.10.13.0–10.10.13.127
  • C) 10.10.13.144/28 ? 10.10.13.144–10.10.13.159
  • D) 10.10.13.208/29 ? 10.10.13.208–10.10.13.215

The destination Host A’s IP must fall within 10.10.13.208–10.10.13.215 for the /29 to be the best match. Since /29 is the longest prefix among the matching options, Router1 will use 10.10.13.208/29.
Thus, the correct answer is D.

S
srameh
4/14/2026 10:09:29 AM

Question 3:

  • Correct answer: Phase 4, Post Accreditation

  • Explanation:
- In DITSCAP, the four phases are: - Phase 1: Definition (concept and requirements) - Phase 2: Verification (design and testing) - Phase 3: Validation (fielding and evaluation) - Phase 4: Post Accreditation (ongoing operations and lifecycle management) - The description—continuing operation of an accredited IT system and addressing changing threats throughout its life cycle—fits the Post Accreditation phase, which covers operations, maintenance, monitoring, and reauthorization as threats and environment evolve.

O
onibokun10
4/13/2026 7:50:14 PM

Question 129:
Correct answer: CNAME

  • A CNAME record creates an alias for a domain, so newapplication.comptia.org will resolve to whatever IP address www.comptia.org resolves to. This ensures both names point to the same resource without duplicating the IP.
  • Why not the others:
- SOA defines authoritative information for a zone. - MX specifies mail exchange servers. - NS designates name servers for a zone.
  • Notes: The alias name (newapplication.comptia.org) should not have other records if you use a CNAME for it, and CNAMEs aren’t used for the zone apex (root) domain. This scenario uses a subdomain, so a CNAME is appropriate.

A
Anonymous User
4/13/2026 6:29:58 PM

Question 1:

  • Correct answer: C

  • Why this is best:
- Uses OS Login with IAM, so SSH access is granted via Google accounts rather than distributing per-user SSH keys. - Granting the compute.osAdminLogin role to a Google group gives admin access to all team members in a centralized, auditable way. - Access is auditable: Cloud Audit Logs show who accessed which VM, satisfying the security requirement to determine who accessed a given instance.
  • How it works:
- Enable OS Login on the project/instances (enable-oslogin metadata). - Add the team’s

A
Anonymous User
4/13/2026 1:00:51 PM

Question 2:

  • Answer: D. Azure Advisor

  • Why: To view security-related recommendations for resources in the Compute and Apps area (including App Service Web Apps and Functions), you use Azure Advisor. Advisor surfaces personalized best-practice recommendations across resources, including security, and shows which resources are affected and the severity.

  • Why not the others:
- Azure Log Analytics is for ad-hoc querying of telemetry, not for viewing security recommendations. - Azure Event Hubs is for streaming telemetry data, not for security recommendations.
  • Quick tip: In the portal, navigate to Azure Advisor and check the Security recommendations for App Services to see actionable items and affe

D
Don
4/11/2026 5:36:42 AM

Recommend using AI for Solutions rather the Answer(s) submitted here

M
Mogae Malapela
4/8/2026 6:37:56 AM

This is very interesting

A
Anon
4/6/2026 5:22:54 PM

Are these the same questions you have to pay for in ExamTopics?

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LRK
3/22/2026 2:38:08 PM

For Question 7 - while the answer description indicates the correct answer, the option no. mentioned is incorrect. Nice and Comprehensive. Thankyou

R
Rian
3/19/2026 9:12:10 AM

This is very good and accurate. Explanation is very helpful even thou some are not 100% right but good enough to pass.

G
Gerrard
3/18/2026 6:58:37 AM

The DP-900 exam can be tricky if you aren't familiar with Microsoft’s specific cloud terminology. I used the practice questions from free-braindumps.com and found them incredibly helpful. The site breaks down core data concepts and Azure services in a way that actually mirrors the real test. As a resutl I passed my exam.

V
Vineet Kumar
3/6/2026 5:26:16 AM

interesting

J
Joe
1/20/2026 8:25:24 AM

Passed this exam 2 days ago. These questions are in the exam. You are safe to use them.

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NJ
12/24/2025 10:39:07 AM

Helpful to test your preparedness before giving exam

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Ashwini
12/17/2025 8:24:45 AM

Really helped

J
Jagadesh
12/16/2025 9:57:10 AM

Good explanation

S
shobha
11/29/2025 2:19:59 AM

very helpful

P
Pandithurai
11/12/2025 12:16:21 PM

Question 1, Ans is - Developer,Standard,Professional Direct and Premier

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