実用的なEGMP2201日本語版試験勉強法 &合格スムーズEGMP2201テスト参考書 |素晴らしいEGMP2201日本語試験対策

EGMP2201試験の復習が大変ですから、我々はあなたのような受験者の負担を少なくするために、皆様に全面的なEGMP2201資料を提供します。だから、我々の専門家たちは努力に過去のデータを整理して分析してから、数年以来の研究を通して、現在の質量高いEGMP2201参考書を開発しています。お客様は安心で試験を準備すればよろしいです。

Esri EGMP2201（Enterprise Geodata Management Professional 2201）認定試験は、企業環境で地理空間データ管理に従事する専門家の知識とスキルをテストするために設計されています。試験は、データモデリング、データベース設計、データ品質、データセキュリティ、およびデータ配信など、幅広いトピックをカバーしています。試験に合格した専門家は、これらのトピックについての徹底した理解を示し、その分野の専門家として認められます。

EGMP2201認定プログラムは、ジオダタベースの設計、データ管理、およびデータ共有に関連する幅広いトピックをカバーする高度なレベルプログラムです。このプログラムは、GIS、IT、データベース管理、およびその他の関連分野で働く専門家に最適です。この試験は、知識とスキルの厳密なテストであり、それに合格すると、Geodatabase管理における高レベルの専門知識が示されています。

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EGMP2201テスト参考書 & EGMP2201日本語試験対策

EGMP2201学習教材を選択し、当社の製品を適切に使用する場合、EGMP2201試験に合格し、EGMP2201認定を取得することをお約束します。そうすれば、あなたは段階的に社会的影響力と成功の大きなレベルに前進するチャンスがたくさんあることに気付くでしょう。 EGMP2201ガイド急流は、EGMP2201試験問題を確認できるコンサートを除外するために、すべての受験者に無料デモを提供することもできます。 EGMP2201学習ガイドがお気に召されると思います。

EGMP2201認証試験の準備をするために、候補者は、ESRIが提供するオンライントレーニングコース、インストラクター主導のワークショップ、学習資料など、さまざまなリソースを利用できます。候補者は、エンタープライズの地理空間データを操作し、ESRIのソフトウェアソリューションを使用することにより、実際の経験を積むこともできます。 EGMP2201認証試験に合格するには、ESRIのソフトウェアソリューションを使用する習熟度と同様に、エンタープライズジオダタ管理の原則と実践を強く理解する必要があります。

Esri Enterprise Geodata Management Professional 2201 認定 EGMP2201 試験問題 (Q42-Q47):

質問 # 42
After running a Compress, the GIS administrator needs to check if the Adds and Deletes tables for Buildings are empty before unregistering as versioned.
What should be referenced by the GIS administrator?

A. sdejayers
B. table_registry
C. gdbjtems

正解：A

解説：
To determine if theAddsandDeletestables for the "Buildings" dataset are empty before unregistering as versioned, the GIS administrator needs to reference thesde_layerstable.
1. Purpose of the sde_layers Table
* Thesde_layerstable tracks the relationship between base tables and the associated delta tables (Adds and Deletes).
* For each versioned dataset, the sde_layers table contains entries linking the dataset to its corresponding A and D tables (e.g., A_<ObjectID> and D_<ObjectID>).
2. Steps to Verify Adds and Deletes
* Identify theObjectIDof the Buildings dataset in thesde_layerstable.
* Query the Adds table (A_<ObjectID>) and Deletes table (D_<ObjectID>) associated with the Buildings dataset:
SELECT COUNT(*) FROM A_<ObjectID>;
SELECT COUNT(*) FROM D_<ObjectID>;
* If both queries return 0, the Adds and Deletes tables are empty, and it is safe to unregister the dataset as versioned.
3. Why Not Other Options?
* table_registry: This table tracks registered datasets but does not provide information about delta tables or their contents.
* gdb_items: This table stores metadata for datasets but does not have details on delta table contents.
References from Esri Documentation and Learning Resources:
* Compressing a Geodatabase-ArcGIS Pro Documentation
* Delta Tables in Versioned Geodatabases
Conclusion:
The GIS administrator must query thesde_layerstable to verify the Adds and Deletes tables before unregistering the dataset as versioned.

質問 # 43
A GIS administrator is investigating reports of slow performance in a map of complex polygons. The investigation finds the following:
* The feature class is in an enterprise geodatabase
* This data has been published as a map service in ArcGIS Enterprise
* The feature class is not versioned
* The map seems to perform slowly at several zoomed-out extents in the map
* Queries on the attributes perform quickly
Which recommendation should the GIS administrator make?

A. Compress the enterprise geodatabase
B. Show cached data for the zoomed extents
C. Run the Analyze Datasets tool

正解：B

解説：
The slow performance at zoomed-out extents is likely caused by the rendering of complex polygon geometries in real time, which can be computationally intensive. Using cached data is the best approach to improve performance in this situation.
1. Reason for Slow Performance at Zoomed-Out Extents
* Complex polygons require significant processing power to render at smaller scales due to the high number of vertices and complex geometry.
* When users zoom out, the number of features being displayed increases, causing additional strain on the map service.
* Attribute queries are not affected because they do not involve rendering the geometries.
2. Advantages of Using Cached Data
* Cached tiles are pre-rendered images of the map at specific scales, stored on the server.
* When cached data is used, the server simply retrieves and displays these images instead of dynamically rendering the features.
* This drastically reduces server load and improves map performance at zoomed-out extents.
3. Why Not Other Options?
* Run the Analyze Datasets Tool:
* This tool checks for issues like invalid geometries, missing spatial indexes, or improper field types. While useful for general data health, it does not directly address rendering performance.
* Compress the Enterprise Geodatabase:
* Compression improves performance for versioned data by consolidating states and cleaning up the database. However, in this case, the feature class is not versioned, so compression would not resolve the rendering issues.
Steps to Implement Caching:
* Open ArcGIS Server Manager and navigate to the map service configuration.
* Enable tile caching and define the scales at which tiles should be created (include the problematic zoomed-out extents).
* Generate the cache using the "Manage Map Server Cache Tiles" tool.
* Test the map to ensure performance improvements.
References from Esri Documentation and Learning Resources:
* Map Caching in ArcGIS Enterprise
* Best Practices for Map Services
Conclusion:
The GIS administrator should recommend enablingcached data for the zoomed extentsto significantly improve map performance.

質問 # 44
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. Relate
C. Join

正解：B

解説：
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.

質問 # 45
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

正解：C

解説：
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.

質問 # 46
A user plans to use a standard database view of a roads feature class from a geodatabase that is different from the primary enterprise geodatabase. Roads is frequently edited in the parent geodatabase, so the user needs to regularly synchronize and have the view recognize all incoming edits immediately.
Which replica type should be used?

A. Two-way replication simple model
B. One-way replica with the full model
C. One-way replica with the simple model

正解：B

解説：
Scenario Overview:
* The user requires a standard database view of theroads feature classthat resides in a different geodatabase from the primary enterprise geodatabase.
* Theroads feature classis frequently edited, and the user needs the view to recognize updates immediately.
Replica Types in ArcGIS:
* One-way replicationwith thefull modelis suitable for scenarios where the parent geodatabase sends updates to the child geodatabase, and all schema and data changes are synchronized.
* In thefull model, the child database retains versioning and acknowledges updates as they occur in the parent database, enabling the user to see immediate updates in their standard view.(ArcGIS Documentation: Geodatabase Replication Types) Key Features of the Full Model:
* Synchronizesboth schema and datachanges.
* Suitable for feature classes withfrequent edits.
* Ensures that the standard database view reflects updates immediately upon synchronization.
Alternative Options:
* Option A:The simple model in one-way replication supports data-only synchronization and does not update schema changes, making it insufficient for dynamic environments.
* Option C:Two-way replication is unnecessary since the edits occur only in the parent geodatabase.
Thus,one-way replication with the full modelis the appropriate choice to meet the requirement.

質問 # 47
......

EGMP2201テスト参考書: https://www.tech4exam.com/EGMP2201-pass-shiken.html

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実用的なEGMP2201日本語版試験勉強法 &合格スムーズEGMP2201テスト参考書 |素晴らしいEGMP2201日本語試験対策

EGMP2201テスト参考書 & EGMP2201日本語試験対策

Esri Enterprise Geodata Management Professional 2201 認定 EGMP2201 試験問題 (Q42-Q47):