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NEW QUESTION: 1
You administer a Microsoft SQL Server 2014 instance that contains a financial database hosted on a storage area network (SAN).
The financial database has the following characteristics:
The database is continually modified by users during business hours from Monday through Friday between
09:00 hours and 17:00 hours. Five percent of the existing data is modified each day.
The Finance department loads large CSV files into a number of tables each business day at 11:15 hours and
15:15 hours by using the BCP or BULK INSERT commands. Each data load adds 3 GB of data to the database.
These data load operations must occur in the minimum amount of time.
A full database backup is performed every Sunday at 10:00 hours. Backup operations will be performed every two hours (11:00, 13:00, 15:00, and 17:00) during business hours.
You need to ensure that the minimum amount of data is lost.
Which recovery model should the database use?
A. DBO ONLY
B. Transaction log
K. CONTINUE AFTER ERROR
The full recovery model requires log backups. No work is lost due to a lost or damaged data file. Can recover to a specific point in time, assuming that your backups are complete up to that point in time.
NEW QUESTION: 2
A. Option C
B. Option A
C. Option D
D. Option B
NEW QUESTION: 3
Your company has a private cloud that contains a System Center 2012 infrastructure.
Audit Collection Services (ACS) is enabled. A server named Server1 has Operations Manager installed.
You upgrade Operations Manager on Server1 and the ACS collector to System Center 2012 R2.
You need to ensure that agents that have been installed by using a push installation are upgraded.
The solution must ensure that ACS is enabled on the agents.
Which three actions should you perform in sequence? To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
NEW QUESTION: 4
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
*Serve as a repository (or high volumes of large files in various formats.
*Implement optimized storage for big data analytics workloads.
*Ensure that data can be organized using a hierarchical structure.
*Use a managed solution for in-memory computation processing.
*Natively support Scala, Python, and R programming languages.
*Provide the ability to resize and terminate the cluster automatically.
Analytical data store:
*Support parallel processing.
*Use columnar storage.
*Support SQL-based languages.
You need to identify the correct technologies to build the Lambda architecture.
Which technologies should you use? To answer, select the appropriate options in the answer area NOTE: Each correct selection is worth one point.
Data storage: Azure Data Lake Store
A key mechanism that allows Azure Data Lake Storage Gen2 to provide file system performance at object storage scale and prices is the addition of a hierarchical namespace. This allows the collection of objects/files within an account to be organized into a hierarchy of directories and nested subdirectories in the same way that the file system on your computer is organized. With the hierarchical namespace enabled, a storage account becomes capable of providing the scalability and cost-effectiveness of object storage, with file system semantics that are familiar to analytics engines and frameworks.
Batch processing: HD Insight Spark
Aparch Spark is an open-source, parallel-processing framework that supports in-memory processing to boost the performance of big-data analysis applications.
HDInsight is a managed Hadoop service. Use it deploy and manage Hadoop clusters in Azure. For batch processing, you can use Spark, Hive, Hive LLAP, MapReduce.
Languages: R, Python, Java, Scala, SQL
Analytic data store: SQL Data Warehouse
SQL Data Warehouse is a cloud-based Enterprise Data Warehouse (EDW) that uses Massively Parallel Processing (MPP).
SQL Data Warehouse stores data into relational tables with columnar storage.