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NEW QUESTION: 1
Your scrum team develops features for new applications and performs maintenance on legacy applications. The newer applications have unit tests, but there are very few tests for the legacy code.
Recently, bugs in the legacy code have been consuming resources that could be used for more important development.
You need to define an approach for building tests on the legacy code. You need to achieve this goal without affecting the team's delivery cadence on the new applications.
What should you do?
A. Implement manual testing for bug fixes to legacy code.
B. Continue development on the new applications, but write tests for any legacy code you work on as part of maintenance.
C. Write tests for legacy code between sprints.
D. Stop new development and write tests for most of the legacy code.
Answer: B

NEW QUESTION: 2
You are developing a solution using a Lambda architecture on Microsoft Azure.
The data at test layer must meet the following requirements:
Data storage:
*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.
Batch processing:
*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.

Answer:
Explanation:

Explanation

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.
References:
https://docs.microsoft.com/en-us/azure/storage/blobs/data-lake-storage-namespace
https://docs.microsoft.com/en-us/azure/architecture/data-guide/technology-choices/batch-processing
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-overview-what-is

NEW QUESTION: 3
In which two instances is a check for secured items performed on NTFS Partitions if Use the Archive attribute is set? (Select two.)
A. when the Storage Service is started
B. when the Backup has completed successfully
C. when Backup Mode is cleared on the Vault Stores
D. when Backup Mode is set on the Vault Stores
E. when the trigger file is found
Answer: A,C

NEW QUESTION: 4
シングルSSIDを使用する場合、ISEバージョン2.1 BYODで何を設定する必要がありますか?
A. WPA2
B. 認証なし
C. 802.1x
D. オープン認証
Answer: A
Explanation: