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NEW QUESTION: 1
A. CONTAINS MEMORY OPTIMIZED DATA
B. COLLATE IN.MEMORY
C. CONTAINMENT = PARTIAL
D. CONTAINS FILESTREAM
E. Change recovery model to FULL
F. Change recovery model to BULK_LOGGED
Answer: A,B
Explanation:
* Scenario: To help with performance, the database needs to be modified so that it can support in-memory data, specifically for the Product table, which the CIO has indicated should be a memory-optimized table. Collations and Code Pages FileGroupDefinition.ContainsMemoryOptimizedData Property (Microsoft.SqlServer.TransactSql.ScriptDom)
NEW QUESTION: 2
A standard barbed-wire, twisted, double-strand fence has __ point barbs spaced an equal distance apart.
A. 0
B. 1
C. 2
D. 3
E. 4
Answer: B
NEW QUESTION: 3
You are designing an Azure infrastructure to support an Azure Machine Learning solution that will have multiple phases. The solution must meet the following requirements:
* Securely query an on-premises database once a week to update product lists.
* Access the data without using a gateway.
* Orchestrate the separate phases.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
Box 1: Azure App Service Hybrid Connections
With Hybrid Connections, Azure websites and mobile services can access on-premises resources as if they were located on the same private network. Application admins thus have the flexibility to simply lift-and-shift specific most front-end tiers to Azure with minimal configuration changes, extending their enterprise apps for hybrid scenarios.
Incorrect Answer: The VPN connection solution both use gateways.
Box 2: Machine Learning pipelines
Typically when running machine learning algorithms, it involves a sequence of tasks including pre-processing, feature extraction, model fitting, and validation stages. For example, when classifying text documents might involve text segmentation and cleaning, extracting features, and training a classification model with cross-validation. Though there are many libraries we can use for each stage, connecting the dots is not as easy as it may look, especially with large-scale datasets. Most ML libraries are not designed for distributed computation or they do not provide native support for pipeline creation and tuning.
Box 3: Azure Databricks
References:
https://azure.microsoft.com/is-is/blog/hybrid-connections-preview/
https://databricks.com/glossary/what-are-ml-pipelines
NEW QUESTION: 4
Which two objects can be inserted in the same transaction? (Choose two.)
A. Case and CaseComment
B. Account and Group
C. Opportunity and User
D. Account and AccountShare
Answer: A,D