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NEW QUESTION: 1
Azure Machine Learningを使用して、モデルをトレーニングおよび登録します。
IT部門がAzureMachine Learningワークスペースで作成したservice-computeという名前の推論クラスターに、リアルタイムWebサービスとしてモデルを本番環境にデプロイする必要があります。
デプロイされたWebサービスを使用するクライアントアプリケーションは、Azure ActiveDirectoryサービスプリンシパルに基づいて認証される必要があります。
Azure Machine LearningSDKを使用してモデルをデプロイするスクリプトを作成する必要があります。必要なモジュールがインポートされました。
コードをどのように完成させる必要がありますか?回答するには、回答領域で適切なオプションを選択します。
注:正しい選択はそれぞれ1ポイントの価値があります。
Answer:
Explanation:
Explanation:
Box 1: AksCompute
Example:
aks_target = AksCompute(ws,"myaks")
# If deploying to a cluster configured for dev/test, ensure that it was created with enough
# cores and memory to handle this deployment configuration. Note that memory is also used by
# things such as dependencies and AML components.
deployment_config = AksWebservice.deploy_configuration(cpu_cores = 1, memory_gb = 1) service = Model.deploy(ws, "myservice", [model], inference_config, deployment_config, aks_target) Box 2: AksWebservice Box 3: token_auth_enabled=Yes Whether or not token auth is enabled for the Webservice.
Note: A Service principal defined in Azure Active Directory (Azure AD) can act as a principal on which authentication and authorization policies can be enforced in Azure Databricks.
The Azure Active Directory Authentication Library (ADAL) can be used to programmatically get an Azure AD access token for a user.
Incorrect Answers:
auth_enabled (bool): Whether or not to enable key auth for this Webservice. Defaults to True.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-deploy-azure-kubernetes-service
https://docs.microsoft.com/en-us/azure/databricks/dev-tools/api/latest/aad/service-prin-aad-token
NEW QUESTION: 2
A. Option B
B. Option D
C. Option A
D. Option C
Answer: B
NEW QUESTION: 3
Lisa is developing a new training course for company using the ADDIE approach for the seminar. Her assistant, Hans, asks what ADDIE means. Which of the following is the correct definition of ADDIE?
A. Aptitude, Design, Deliver, Investigate, Evaluation
B. Analysis, Development, Diversity, Implementation, Excel
C. Analysis, Design, Development, Implementation, Evaluation
D. Aptitude, Design, Diversity, Implementation, Evaluation
Answer: B
Explanation:
Explanation/Reference:
Answer option C is correct.
ADDIE is most often associated with instructional design. It means Analysis, Design, Development, Implementation, Evaluation.
The ADDIE model is the generic process traditionally used by instructional designers and training developers. The five phases - Analysis, Design, Development, Implementation, and Evaluation - represent a dynamic, flexible guideline for building effective training and performance support tools. This model attempts to save time and money by catching problems while they are still easy to fix.
Answer option B is incorrect. This isn't a correct definition of ADDIE. The correct meaning of ADDIE is Analysis, Design, Development, Implementation, Evaluation.
Answer option A is incorrect. This isn't a correct definition of ADDIE. The correct meaning of ADDIE is Analysis, Design, Development, Implementation, Evaluation.
Answer option D is incorrect. This isn't a correct definition of ADDIE. The correct meaning of ADDIE is Analysis, Design, Development, Implementation, Evaluation.
Reference: Professional in Human Resources Certification Guide, Sybex, ISBN: 978-0-470-43096-5.
Chapter 5: Human Resource Development. Official PHR and SPHR Certification Guide, HR Certification Institute, ISBN: 978-1-586-44149-4, Section III, The US Body of Knowledge.
Chapter: Human Resource Development
Objective: Talent Management
NEW QUESTION: 4
Note: This question is part of a series of questions that present the same scenario. Each question
in the series contains a unique solution that might meet the stated goals. Some question sets
might have more than one correct solution, while others might not have a correct solution.
After you answer a question in this sections, you will NOT be able to return to it. As a result, these
questions will not appear in the review screen.
You have a data warehouse that stored sales data. One fact table has 100 million rows.
You must reduce storage needs for the data warehouse.
You need to implement a solution that uses column-based storage and provides real-time analytics for the
operational workload.
Solution: You remove all clustered indexes, sort the transactions in the table, and create a clustered index
on the table, so that the table is not a heap.
Does the solution meet the goal?
A. Yes
B. No
Answer: B
Explanation:
Explanation/Reference:
Explanation:
You should use a column-store index, not a clustered index.
Note: Columnstore indexes are the standard for storing and querying large data warehousing fact tables. It
uses column-based data storage and query processing to achieve up to 10x query performance gains in
your data warehouse over traditional row-oriented storage, and up to 10x data compression over the
uncompressed data size.
In SQL Server, rowstore refers to table where the underlying data storage format is a heap, a clustered
index, or a memory-optimized table.
References:
https://docs.microsoft.com/en-us/sql/relational-databases/indexes/columnstore-indexes-overview