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| Vendor: | Microsoft |
|---|---|
| Exam Code: | DP-300 |
| Exam Name: | Administering Microsoft Azure SQL Solutions |
| Exam Questions: | 341 |
| Last Updated: | January 10, 2026 |
| Related Certifications: | Azure Database Administrator Associate |
| Exam Tags: | Cloud Certification, Microsoft Azure Certification, Databases certification Intermediate Microsoft Database Administrators |
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You have an on-premises multi-tier application named App1 that includes a web tier, an application tier, and a Microsoft SQL Server tier. All the tiers run on Hyper-V virtual machines.
Your new disaster recovery plan requires that all business-critical applications can be recovered to Azure.
You need to recommend a solution to fail over the database tier of App1 to Azure. The solution must provide the ability to test failover to Azure without affecting the current environment.
What should you include in the recommendation?
You have an Azure SQL database.
You need to implement a disaster recovery solution that meets the following requirements:
* Minimizes how long it takes to recover the database if a datacenter fails
* Minimizes administrative effort
What should you include in the solution?
You plan to perform batch processing in Azure Databricks once daily.
Which type of Databricks cluster should you use?
Azure Databricks makes a distinction between all-purpose clusters and job clusters. You use all-purpose clusters to analyze data collaboratively using interactive notebooks. You use job clusters to run fast and robust automated jobs.
The Azure Databricks job scheduler creates a job cluster when you run a job on a new job cluster and
terminates the cluster when the job is complete.
A company plans to use Apache Spark analytics to analyze intrusion detection data.
You need to recommend a solution to analyze network and system activity data for malicious activities and policy violations. The solution must minimize administrative efforts.
What should you recommend?
Azure HDInsight offers pre-made, monitoring dashboards in the form of solutions that can be used to monitor the workloads running on your clusters. There are solutions for Apache Spark, Hadoop, Apache Kafka, live long and process (LLAP), Apache HBase, and Apache Storm available in the Azure Marketplace.
Note: With Azure HDInsight you can set up Azure Monitor alerts that will trigger when the value of a metric or the results of a query meet certain conditions. You can condition on a query returning a record with a value that is greater than or less than a certain threshold, or even on the number of results returned by a query. For example, you could create an alert to send an email if a Spark job fails or if a Kafka disk usage becomes over 90 percent full.
You have SQL Server 2019 on an Azure virtual machine that runs Windows Server 2019. The virtual machine
has 4 vCPUs and 28 GB of memory.
You scale up the virtual machine to 8 vCPUSs and 64 GB of memory.
You need to provide the lowest latency for tempdb.
What is the total number of data files that tempdb should contain?
The number of files depends on the number of (logical) processors on the machine. As a general rule, if the number of logical processors is less than or equal to eight, use the same number of data files as logical processors. If the number of logical processors is greater than eight, use eight data files and then if contention continues, increase the number of data files by multiples of 4 until the contention is reduced to acceptable levels or make changes to the workload/code.
https://docs.microsoft.com/en-us/sql/relational-databases/databases/tempdb-database
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