Download Microsoft.DP-201.PrepDumps.2020-10-10.125q.vcex

Premium Storage stores data on the latest technology Solid State Drives (SSDs) whereas Standard Storage stores data on Hard Disk Drives (HDDs). Premium Storage is designed for Azure Virtual Machine workloads which require consistent high IO performance and low latency in order to host IO intensive workloads like OLTP, Big Data, and Data Warehousing on platforms like SQL Server, MongoDB, Cassandra, and others. With Premium Storage, more customers will be able to lift-and-shift demanding enterprise applications to the cloud. Scenario: Traffic sensors will occasionally capture an image of a vehicle for debugging purposes.You must optimize performance of saving/storing vehicle images. The impact of vehicle images on sensor data throughout must be minimized. References:https://azure.microsoft.com/es-es/blog/introducing-premium-storage-high-performance-storage-for-azure-virtual-machine-workloads/

Data used for Planning Assistance must be stored in a sharded Azure SQL Database. A shard typically contains items that fall within a specified range determined by one or more attributes of the data. These attributes form the shard key (sometimes referred to as the partition key). The shard key should be static. It shouldn't be based on data that might change. References:https://docs.microsoft.com/en-us/azure/architecture/patterns/sharding

Box 1: EventualTraffic data insertion rate must be maximized. Sensor data must be stored in a Cosmos DB named treydata in a collection named SensorData With Azure Cosmos DB, developers can choose from five well-defined consistency models on the consistency spectrum. From strongest to more relaxed, the models include strong, bounded staleness, session, consistent prefix, and eventual consistency. Box 2: License plateThis solution reports on all data related to a specific vehicle license plate. The report must use data from the SensorData collection. References:https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels

Azure resource costs must be minimized where possible. Data used for Planning Assistance must be stored in a sharded Azure SQL Database. The SLA for Planning Assistance is 70 percent, and multiday outages are permitted.

Box 1: NoData used for Planning Assistance must be stored in a sharded Azure SQL Database. Box 2: YesBox 3: YesPlanning Assistance database will include reports tracking the travel of a single vehicle 

Image data must be stored in a single data store at minimum cost. Note: Azure Blob storage is Microsoft's object storage solution for the cloud. Blob storage is optimized for storing massive amounts of unstructured data. Unstructured data is data that does not adhere to a particular data model or definition, such as text or binary data. Blob storage is designed for:Serving images or documents directly to a browser. Storing files for distributed access. Streaming video and audio. Writing to log files. Storing data for backup and restore, disaster recovery, and archiving. Storing data for analysis by an on-premises or Azure-hosted service. References:https://docs.microsoft.com/en-us/azure/storage/blobs/storage-blobs-introduction

Customer data must be analyzed using managed Spark clusters. You create spark clusters through Azure Databricks. References:https://docs.microsoft.com/en-us/azure/azure-databricks/quickstart-create-databricks-workspace-portal

From the scenario:Customer data must be analyzed using managed Spark clusters. All cloud data must be encrypted at rest and in transit. The solution must support: parallel processing of customer data. References:https://www.microsoft.com/developerblog/2019/01/18/running-parallel-apache-spark-notebook-workloads-on-azure-databricks/

Images: Azure Data Lake StorageScenario: Image data must be stored in a single data store at minimum cost.Customer data: Azure Blob StorageScenario: Customer data must be analyzed using managed Spark clusters.Spark clusters in HDInsight are compatible with Azure Storage and Azure Data Lake Storage. Azure Storage includes these data services: Azure Blob, Azure Files, Azure Queues, and Azure Tables.References:https://docs.microsoft.com/en-us/azure/hdinsight/spark/apache-spark-overview

CONT_SQL3 requires an initial scale of 35000 IOPS. Ultra SSD Managed Disk Offerings       The following table provides a comparison of ultra solid-state-drives (SSD) (preview), premium SSD, standard SSD, and standard hard disk drives (HDD) for managed disks to help you decide what to use.       References:https://docs.microsoft.com/en-us/azure/virtual-machines/windows/disks-types