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Summary DP-201 Designing An azure data solution

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A snapshot of the summary - DP-201 Designing An azure data solution

  • 1 Introduction

  • What Azure relational datastore services is this about?
    Azure SQL database
    Azure Synapse Analytics
  • What azure non-relational datastore services is this about?
    Cosmos DB
    Data lake storage gen2
    BLOB storage
  • What kind of solutions should you be able to design for relational and non-relational datastore services?
    Data distribution and partition
    High scalability, taking into account multiple regions, latency and throughput
    Disaster recovery
    High availability
  • What types of data processing solutions exists?
    Batch processing
    Stream processing
  • One of the data processing solutions you need to know about is stream processing. You need to know which two tools you can use to design solutions?
    Stream analytics
    Azure Databricks
  • 2 Azure storage

  • 2.1 Azure storage

  • If you don't need a full-blown database, than azure storage is the way to go. Why?
    It is durable
    Highly available
    stores redundantly
    It is secure (encrypted, fine grain access)
    Scalable without provisioning hardware for it.
  • Eventhough data is stored redundantly, there are 4 redundancy options available. Which are there (from cheapest to most expensive)?
    Locally redundant (LRS)
    Zone-Redundant (ZRS)
    Geo-Redundant (GRS)
    Read-access Geo-Redundant (RA-GRS)
  • What methods are there to copy data to and from Azure storage (4)?
    AzCopy Utility
    Azure Powershell
    Azure Storage SDK (for programming languages)
    StorSimple
  • Blob-storage is cheaper than File storage. There are also options to make it even cheaper. Which three options are there?
    Premium storage
    Hot. Data is accessed frequently.
    Cool. Not accessed frequently.
    Archive. Almost never accessed.
  • 2.3.1 Azure SQL database

  • name all the database deployment models for the Azure SQL database
    1. Single database (Fully managed single database)
    2. Elastic pool (collection of single SQL Servers sharing resources)
    3. Managed instance (SQL Server as a Service)
    4. SQL server on a Server VM.
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