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NEW QUESTION: 1
What's Auto Save? How can you identify an application that supports Auto Save?
A. Auto Save allows compatible OS X applications toautomatically save changes to users'
documents. A user just saves a document once, then never has to think about saving changes again. Applications that support Auto Save feature a Duplicate function in the File menu as opposed to a default Save As function.
B. You can use the System Information application to easily scan all the appropriate application locations and return a list of installed applications.
C. Disk Utility is the primary application for creating and managing disk images.
D. The master password is used to reset local account passwords.
Answer: A
NEW QUESTION: 2
You are designing an AI solution that will be used to find buildings in aerial pictures.
Users will upload the pictures to an Azure Storage account. A separate JSON document will contain for the pictures.
The solution must meet the following requirements:
Store metadata for the pictures in a data store.
Run a custom vision Azure Machine Learning module to identify the buildings in a picture and the position of the buildings' edges.
Run a custom mathematical module to calculate the dimensions of the buildings in a picture based on the metadata and data from the vision module.
You need to identify which Azure infrastructure services are used for each component of the AI workflow. The solution must execute as quickly as possible.
What should you identify? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation:
Box 1: Azure Blob Storage
Containers and blobs support custom metadata, represented as HTTP headers.
Box 2: NV
The NV-series enables powerful remote visualisation workloads and other graphics-intensive applications backed by the NVIDIA Tesla M60 GPU.
Note: The N-series is a family of Azure Virtual Machines with GPU capabilities. GPUs are ideal for compute and graphics-intensive workloads, helping customers to fuel innovation through scenarios like high-end remote visualisation, deep learning and predictive analytics.
Box 3: F
F-series VMs feature a higher CPU-to-memory ratio. Example use cases include batch processing, web servers, analytics and gaming.
Incorrect:
A-series VMs have CPU performance and memory configurations best suited for entry level workloads like development and test.
References:
https://azure.microsoft.com/en-in/pricing/details/virtual-machines/series/
NEW QUESTION: 3
When using the set of aggregation nodes, how does a developer tie the fan-out flow with the fan-in flow when it is included within the same message flow?
A. Set the Aggregate Name property of the AggregateReply Node to the same value that you set for the Aggregate Name property in the corresponding Collector Node.
B. Set the Aggregate Name property of the AggregateReply Node to the same value that you set for the Aggregate Name property in the corresponding AggregateControl Node.
C. Set the Aggregate Name property of the AggregateReply Node to the same value that you set for the Aggregate Name property on each of the corresponding Aggregate Request Nodes in the fan-out flow.
D. No properties need to be set, since the fan-out and fan-in flows are in the same message flow.
Answer: A
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 states goals. Some question sets might have more than one correct solution, while the others might not have a correct solution.
After you answer a question in this section, you will NOT be able to return to it. As a result, these questions will not appear in the review screen.
You plan to implement a new data warehouse.
You have the following information regarding the data warehouse:
* The first data files for the data warehouse will be available in a few days.
* Most queries that will be executed against the data warehouse are ad-hoc.
* The schemas of data files that will be loaded to the data warehouse change often.
* One month after the planned implementation, the data warehouse will contain 15 TB of data.
You need to recommend a database solution to support the planned implementation.
Solution: You recommend an Apache Hadoop system.
Does this meet the goal?
A. No
B. Yes
Answer: B