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NEW QUESTION: 1
You have the following HTML markup within a page that lists the sessions of a conference. (Line numbers are included for reference only.)
You need to use HTML5 to maximize Search Enginer Optimization (SEO) for the page.
Which two changes should you make to the markup? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Replace the div element at line 01 with <div class="section sessionlist">.
B. Replace the div element at line 03 with <div class="article">.
C. Replace the div element at lines 01 and 19 with a section element.
D. Replace the div element at line 01 with <div aria-level="1" class="page-section sessionlist">.
E. Replace the div element at lines 03, 10, 11, and 18 with article elements.
F. Replace the div element at lines 03 and 11 with <div aria-level="2" class="article">.
Answer: C,E
Explanation:
Reference: https://stackoverflow.com/questions/6939864/what-is-the-difference-between-section-and-div
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
You are developing an ASP.NET MVC application named ContosoWebApp. You are ready to deploy the
application to your production web server.
You need to import the publishing profile.
Which menu item should you use? (To answer, select the appropriate menu item in the answer area).
Answer:
Explanation:
Explanation