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DP-100模擬練習 & DP-100赤本合格率

<br>u7c21u5358u306bMicrosoftu306eDP-100u8a8du5b9au8a66u9a13u306bu5408u683cu3057u305fu3044u304bu3002ShikenPASSu306eMicrosoftu306eDP-100u8a66u9a13u30c8u30ecu30fcu30cbu30f3u30b0u8cc7u6599u306fu6b20u304fu3053u3068u304cu3067u304du306au3044u5b66u7fd2u6559u6750u3067u3059u3002ShikenPASSu306eMicrosoftu306eDP-100u8a66u9a13u30c8u30ecu30fcu30cbu30f3u30b0u8cc7u6599u306fu8c4au5bccu306au7d4cu9a13u3092u6301u3063u3066u3044u308bITu5c02u9580u5bb6u304cu7814u7a76u3057u305fu3082u306eu3067u3001u554fu984cu3068u89e3u7b54u304cu7dcau5bc6u306bu7d50u3093u3067u3044u308bu3082u306eu3067u3059u3002u4ed6u306eu30cdu30c3u30c8u3067u306eu8cc7u6599u306fu305du308cu3068u6bd4u3079u308bu3059u3089u3082u3067u304du307eu305bu3093u3002ShikenPASSu306fu541bu306eu3082u3063u3068u8f1du3044u5c06u6765u306bu52a9u3051u3089u308cu307eu3059u3002<br>Microsoft DP-100 u8a8du5b9au8a66u9a13u306eu51fau984cu7bc4u56f2uff1a<br>u30c8u30d4u30c3u30afu51fau984cu7bc4u56f2u30c8u30d4u30c3u30af 1Create An Azure Data Science Environment<br> Configure Data Science Work Environments<br>u30c8u30d4u30c3u30af 2Determine Ideal Split Based On The Nature Of The Data<br> Determine Number Of Splits<br> Identify Data Imbalances<br>u30c8u30d4u30c3u30af 3Design The Data Preparation Flow<br> Identify Anomalies, Outliers, And Other Data Inconsistencies<br>u30c8u30d4u30c3u30af 4Resolve Anomalies, Outliers, And Other Data Inconsistencies<br> Standardize Data Formats<br><br>u30c8u30d4u30c3u30af 5Select An Algorithmic Approach<br> Consider Data Preparation Steps That Are Specific To The Selected Algorithms<br>u30c8u30d4u30c3u30af 6Assess The Deployment Environment Constraints<br> Select The Development Environment<br>u30c8u30d4u30c3u30af 7Analyze And Recommend Tools That Meet System Requirements<br> Set Up Development Environment<br>u30c8u30d4u30c3u30af 8Transform Data Into Usable Datasets<br> Develop Data Structures<br> Perform Exploratory Data Analysis (Eda)<br>u30c8u30d4u30c3u30af 9Review Visual Analytics Data To Discover Patterns And Determine Next Steps<br> Design A Data Sampling Strategy<br>u30c8u30d4u30c3u30af 10Determine Appropriate Performance Metrics<br> Implement Appropriate Algorithms<br>&gt;&gt; DP-100u6a21u64ecu7df4u7fd2 &lt;&lt;<br>DP-100u8d64u672cu5408u683cu7387 & DP-100u65e5u672cu8a9e<br>DP-100u8a66u9a13u8cc7u683cu8a3cu660eu66f8u3092u53d6u5f97u3059u308bu3053u3068u306fu96e3u3057u3044u3067u3059u3002u3067u3082u3001Microsoftu3000DP-100u5fa9u7fd2u6559u6750u3092u9078u3070u308cu3070u3001u8a66u9a13u306bu5408u683cu3059u308bu3053u3068u306fu7c21u5358u3067u3059u3002DP-100u5fa9u7fd2u6559u6750u306eu5185u5bb9u306fu5168u9762u7684u3067u3001u4fa1u683cu306fu5408u7406u7684u3067u3059u3002u305du3057u3066u3001Microsoftu306fu304au5ba2u69d8u306bu30c7u30a3u30b9u30abu30a6u30f3u30c8u30b3u30fcu30c9u3092u63d0u4f9bu3067u304du3001DP-100u5fa9u7fd2u6559u6750u3092u3088u308au5b89u304fu8cfcu5165u3067u304du307eu3059u3002<br>Microsoft Designing and Implementing a Data Science Solution on Azure u8a8du5b9a DP-100 u8a66u9a13u554fu984c (Q272-Q277):<br>u8ceau554f # 272 You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements.Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order.<br>u6b63u89e3uff1a<br>u89e3u8aacuff1aExplanation:Step 1: Sweep ClusteringStart by using the "Tune Model Hyperparameters" module to select the best sets of parameters for each of the models we're considering.One of the interesting things about the "Tune Model Hyperparameters" module is that it not only outputs the results from the Tuning, it also outputs the Trained Model.Step 2: Train ModelStep 3: Evaluate ModelScenario: You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results.You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another.References:http://breaking-bi.blogspot.com/2017/01/azure-machine-learning-model-evaluation.html<br>u8ceau554f # 273 You use Azure Machine Learning Studio to build a machine learning experiment.You need to divide data into two distinct datasets.Which module should you use?<br>A. Assign Data to Clusters<br>B. Partition and Sample<br>C. Load Trained Model<br>D. Tune Model-Hyperparameters<br>u6b63u89e3uff1aB<br>u89e3u8aacuff1aPartition and Sample with the Stratified split option outputs multiple datasets, partitioned using the rules you specified.References:https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sample<br>u8ceau554f # 274 You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit.Which technique should you use?<br>A. Set the threshold to 0.5 and retrain if weighted Kappa deviates /- 5% from 0.45.<br>B. Set the threshold to 0.75 and retrain if weighted Kappa deviates /- 5% from 0.15.<br>C. Set the threshold to 0.2 and retrain if weighted Kappa deviates /- 5% from 0.6.<br>D. Set the threshold to 0.05 and retrain if weighted Kappa deviates /- 5% from 0.5.<br>u6b63u89e3uff1aA<br>u89e3u8aacuff1aScenario:Performance curves of current and proposed cost factor scenarios are shown in the following diagram:The ad propensity model uses a cut threshold is 0.45 and retrains occur if weighted Kappa deviated from 0.1 /- 5%.<br>u8ceau554f # 275 For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point.<br>u6b63u89e3uff1a<br>u89e3u8aacuff1a<br>u8ceau554f # 276 You have an Azure Machine Learning workspace named workspace1 that is accessible from a public endpoint. The workspace contains an Azure Blob storage datastore named store1 that represents a blob container in an Azure storage account named account1. You configure workspace1 and account1 to be accessible by using private endpoints in the same virtual network.You must be able to access the contents of store1 by using the Azure Machine Learning SDK for Python. You must be able to preview the contents of store1 by using Azure Machine Learning studio.You need to configure store1.What should you do? To answer, select the appropriate options in the answer area.NOTE: Each correct selection is worth one point.<br>u6b63u89e3uff1a<br>u89e3u8aacuff1aReference:https://docs.microsoft.com/en-us/azure/machine-learning/how-to-access-data<br>u8ceau554f # 277......<br>Microsoftu306eDP-100u30afu30a4u30bau30c8u30ecu30f3u30c8u306fu7121u6599u306eu8a66u7528u7248u3092u63d0u4f9bu3057u307eu3059u3002u3057u305fu304cu3063u3066u3001DP-100u30c6u30b9u30c8u6e96u5099u306bu3064u3044u3066u3088u308au6df1u304fu7406u89e3u3057u3001u3053u306eu7a2eu306eu5b66u7fd2u6559u6750u304cu8cfcu5165u306bu9069u3057u3066u3044u308bu304bu3069u3046u304bu3092u63a8u5b9au3059u308bu306eu306bu5f79u7acbu3061u307eu3059u3002 ShikenPASSu8a66u7528u7248u3092u4f7fu7528u3059u308bu3068u3001u30c6u30b9u30c8u30d7u30e9u30c3u30c8u30d5u30a9u30fcu30e0u3067u5229u7528u53efu80fdu306a3u3064u306eu7570u306au308bu30d0u30fcu30b8u30e7u30f3u306eu9078u629eu304bu3089u30a2u30d5u30bfu30fcu30b5u30fcu30d3u30b9u307eu3067u3001u3055u307eu3056u307eu306au5074u9762u304bu3089u306eDP-100u8a66u9a13u30c8u30ecu30f3u30c8u306bu3064u3044u3066u3088u308au6df1u304fu7406u89e3u3067u304du307eu3059u3002 DP-100u8a66u9a13u554fu984cu3092u8a66u3057u3066u307fu305fu3089u3001Designing and Implementing a Data Science Solution on Azureu8cfcu5165u3059u308bu306eu304cu5927u597du304du3067u3059u3002<br>DP-100u8d64u672cu5408u683cu7387: https://www.shikenpass.com/DP-100-shiken.html<br>Tags: DP-100u6a21u64ecu7df4u7fd2,DP-100u8d64u672cu5408u683cu7387,DP-100u65e5u672cu8a9e,DP-100u8a66u9a13u95a2u9023u60c5u5831,DP-100u53d7u9a13u8cc7u6599u66f4u65b0u7248<br>

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DP-100模擬練習 & DP-100赤本合格率

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  1. Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure 1 shikenpass.com 簡単にMicrosoftのDP-100認定試験に合格したいか。ShikenPASSのMicrosoftのDP-100試験トレーニン グ資料は欠くことができない学習教材です。ShikenPASSのMicrosoftのDP-100試験トレーニング資料は 豊富な経験を持っているIT専門家が研究したもので、問題と解答が緊密に結んでいるものです。他のネッ トでの資料はそれと比べるすらもできません。ShikenPASSは君のもっと輝い将来に助けられます。 Microsoft DP-100 認定試験 認定試験の の出題範囲： 出題範囲： トピック トピック 出題範囲 出題範囲 • Create An Azure Data Science Environment • Configure Data Science Work Environments • Determine Ideal Split Based On The Nature Of The Data • Determine Number Of Splits • Identify Data Imbalances • Design The Data Preparation Flow • Identify Anomalies, Outliers, And Other Data Inconsistencies • Resolve Anomalies, Outliers, And Other Data Inconsistencies • Standardize Data Formats • • Select An Algorithmic Approach • Consider Data Preparation Steps That Are Specific To The Selected Algorithms • Assess The Deployment Environment Constraints • Select The Development Environment トピック 1 トピック 2 トピック 3 トピック 4 トピック 5 トピック 6 DP-100模擬練習 模擬練習 & DP-100赤本合格率 赤本合格率

  2. Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure 2 • Analyze And Recommend Tools That Meet System Requirements • Set Up Development Environment • Transform Data Into Usable Datasets • Develop Data Structures • Perform Exploratory Data Analysis (Eda) • Review Visual Analytics Data To Discover Patterns And Determine Next Steps • Design A Data Sampling Strategy • Determine Appropriate Performance Metrics • Implement Appropriate Algorithms shikenpass.com トピック 7 トピック 8 トピック 9 トピック 10 >> DP-100模擬練習 << 模擬練習 << DP-100赤本合格率 赤本合格率 & DP-100日本語 日本語 DP-100試験資格証明書を取得することは難しいです。でも、Microsoft　DP-100復習教材を選ばれば、試 験に合格することは簡単です。DP-100復習教材の内容は全面的で、価格は合理的です。そし て、Microsoftはお客様にディスカウントコードを提供でき、DP-100復習教材をより安く購入できます。 Microsoft Designing and Implementing a Data Science Solution on Azure 認定 認定 DP-100 試験問題 試験問題 (Q272-Q277): 質問 # 272 質問 # 272 You need to produce a visualization for the diagnostic test evaluation according to the data visualization requirements. Which three modules should you recommend be used in sequence? To answer, move the appropriate modules from the list of modules to the answer area and arrange them in the correct order. DP-100模擬練習 模擬練習 & DP-100赤本合格率 赤本合格率

  3. Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure 3 shikenpass.com 正解： 正解： 解説： DP-100模擬練習 模擬練習 & DP-100赤本合格率 赤本合格率

  4. Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure 4 shikenpass.com Explanation: Step 1: Sweep Clustering Start by using the "Tune Model Hyperparameters" module to select the best sets of parameters for each of the models we're considering. One of the interesting things about the "Tune Model Hyperparameters" module is that it not only outputs the results from the Tuning, it also outputs the Trained Model. Step 2: Train Model Step 3: Evaluate Model Scenario: You need to provide the test results to the Fabrikam Residences team. You create data visualizations to aid in presenting the results. You must produce a Receiver Operating Characteristic (ROC) curve to conduct a diagnostic test evaluation of the model. You need to select appropriate methods for producing the ROC curve in Azure Machine Learning Studio to compare the Two-Class Decision Forest and the Two-Class Decision Jungle modules with one another. References: http://breaking-bi.blogspot.com/2017/01/azure-machine-learning-model-evaluation.html 質問 # 273 質問 # 273 You use Azure Machine Learning Studio to build a machine learning experiment. You need to divide data into two distinct datasets. Which module should you use? A. Assign Data to Clusters B. Partition and Sample DP-100模擬練習 模擬練習 & DP-100赤本合格率 赤本合格率

  5. Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure 5 C. Load Trained Model D. Tune Model-Hyperparameters 正解 正解：B 解説： Partition and Sample with the Stratified split option outputs multiple datasets, partitioned using the rules you specified. References: https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/partition-and-sam ple shikenpass.com 質問 # 274 質問 # 274 You need to implement a new cost factor scenario for the ad response models as illustrated in the performance curve exhibit. Which technique should you use? A. Set the threshold to 0.5 and retrain if weighted Kappa deviates +/- 5% from 0.45. B. Set the threshold to 0.75 and retrain if weighted Kappa deviates +/- 5% from 0.15. C. Set the threshold to 0.2 and retrain if weighted Kappa deviates +/- 5% from 0.6. D. Set the threshold to 0.05 and retrain if weighted Kappa deviates +/- 5% from 0.5. 正解 正解：A 解説： Scenario: Performance curves of current and proposed cost factor scenarios are shown in the following diagram: The ad propensity model uses a cut threshold is 0.45 and retrains occur if weighted Kappa deviated from 0.1 +/- 5%. 質問 # 275 質問 # 275 DP-100模擬練習 模擬練習 & DP-100赤本合格率 赤本合格率

  6. Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure 6 For each of the following statements, select Yes if the statement is true. Otherwise, select No. NOTE: Each correct selection is worth one point. shikenpass.com 正解： 正解： 解説： 質問 # 276 質問 # 276 You have an Azure Machine Learning workspace named workspace1 that is accessible from a public endpoint. The workspace contains an Azure Blob storage datastore named store1 that represents a blob container in an Azure storage account named account1. You configure workspace1 and account1 to be accessible by using private endpoints in the same virtual network. You must be able to access the contents of store1 by using the Azure Machine Learning SDK for Python. You must be able to preview the contents of store1 by using Azure Machine Learning studio. You need to configure store1. What should you do? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point. 正解： 正解： DP-100模擬練習 模擬練習 & DP-100赤本合格率 赤本合格率

  7. Microsoft DP-100 Designing and Implementing a Data Science Solution on Azure 7 解説： Reference: https://docs.microsoft.com/en-us/azure/machine-learning/how-to-access-data shikenpass.com 質問 # 277 質問 # 277 ...... MicrosoftのDP-100クイズトレントは無料の試用版を提供します。したがって、DP-100テスト準備につ いてより深く理解し、この種の学習教材が購入に適しているかどうかを推定するのに役立ちます。 ShikenPASS試用版を使用すると、テストプラットフォームで利用可能な3つの異なるバージョンの選択 からアフターサービスまで、さまざまな側面からのDP-100試験トレントについてより深く理解できます。 DP-100試験問題を試してみたら、Designing and Implementing a Data Science Solution on Azure購入 するのが大好きです。 DP-100赤本合格率 赤本合格率: https://www.shikenpass.com/DP-100-shiken.html Tags: DP-100模擬練習 新版 新版 模擬練習,DP-100赤本合格率 赤本合格率,DP-100日本語 日本語,DP-100試験関連情報 試験関連情報,DP-100受験資料更 受験資料更 DP-100模擬練習 模擬練習 & DP-100赤本合格率 赤本合格率

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