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Exam Number : QSDA2018
Exam Name : Qlik Sense Data Architect Certification Exam
Vendor Name : Qlik
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The Qlik Sense Data Architect Certification test measures your ability to identify requirements for data models, design and build data models, and validate the data. This test has 50 multiple-choice questions to answer in 2 hours.

Prerequisites
- Practical experience developing multiple production-quality applications in Qlik Sense
- Ability to write Qlik Sense LOAD scripts and validate data
- Basic understanding of Extract-Transform-Load (ETL)
- Create and use connectors to various data sources
- Understand the QVD layer and architecture of the Qlik platform
- Ability to architect data to provide optimal performance
- Familiar with SQL and relational databases

Exam Topics
Identify Requirements for Data Models (16% of the exam)
- Identify the data load and refresh requirements (e.g., tiered architecture, multiple data sources, varying refresh times)
- Given a scenario, identify Qlik Sense features to meet customer needs (e.g., associative data model, master items, ODAG, GeoAnalytics)
- Outline steps to implement security requirements

Design Data Models (28% of the exam)
- Determine an appropriate data model design to meet customer needs
- Decide on an appropriate data model that prioritizes reuse, scalability, and efficiency (e.g., tiered architecture, data governance)
- Determine how to manage complex scenarios (e.g., calendar, set analysis, flags, functions)

Build Data Models (34% of the exam)
- Create data models (e.g., join, keep, resident load, where clause, incremental load, purge strategy, variable)
- Given a scenario, use data transformation techniques with both data load editor and data manager
- Manage security using section access
- Use the Qlik Converter to migrate QlikView documents to Qlik Sense applications
- Use appropriate data connections

Validate Data (22% of the exam)
- Validate data models against source information using Qlik Sense visualizations
- Resolve data modeling issues (e.g., synthetic keys, circular references, scripting errors, debugging)
- Resolve data issues (e.g., null values, data formatting)



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Qlik Architect test

5 easy methods to increase on spreadsheets for company workflows | QSDA2018 boot camp and Practice Questions

I currently wrote about five methods spreadsheets kill your enterprise. Spreadsheets are a versatile tool for performing brief, ad hoc records evaluation, setting up presentation substances, creating small potential bases, and taking part with small groups. however when spreadsheets turn into operational equipment in routine enterprise approaches, the guide effort required to hold data high-quality and develop workflows will also be costly and mistake-prone.

When spreadsheets turn into a part of an ongoing technique, it’s time for everybody using them—business leaders, solution architects, statistics scientists, and utility developers—to review migration options to extra effective platforms.

because spreadsheets are the Swiss army knives of office tools, the proper  alternate options for modernization span a number of various kinds of structures. Some spreadsheets can get replaced with configurable software-as-a-carrier tools, while others require a greater customizable answer. Low-code alternatives allow builders to extra comfortably create and help enhancements, and no-code options empower clients to develop their own options.

For larger-scale and extra complicated workflows, building teams might believe customized-developed purposes, business process management (BPM) platforms, or other enterprise utility construction frameworks. once a workflow fulfills a site-certain or business-certain need and turns into used by means of diverse departments, it’s price reviewing structures specific for the job at hand in preference to replacing spreadsheets with lighter-weight equipment.  

counting on the records forms, workflow, presentation requirements, security considerations, and collaboration required, diverse systems are worth in view that. in lots of cases, structures address multiple type of use case, and many of those I listing can fall into dissimilar categories.

here are five tactics to changing spreadsheets that draw on diverse platform types. Most businesses will need a couple of alternate options to cover their huge spreadsheet use instances.

build an information visualization or dashboard

If a spreadsheet is largely a conduit to screen charts and graphs, one alternative is to rebuild the facts visualizations in a self-service enterprise intelligence (BI) platform. The best strategy is to rediscover the underlying necessities and rebuild dashboards that serve company wants as opposed to porting the present charts into a new platform.

builders and citizen records scientists should still trust opting for consumer personas, documenting the questions dashboards will reply, addressing statistics high-quality concerns, and following statistics visualization necessities. Some structures are stand-by myself facts visualization equipment, but many permit builders to embed visualizations directly in functions and different platforms.

structures to consider include Domo, KNIME, Looker, vigor BI, Qlik, Sisense, Tableau, and ThoughtSpot.

Migrate to a SaaS or no-code database

If the spreadsheet is storing fashioned data for an information base or workflow, you’re more likely to want a database to migrate and control the information. Assuming this is structured statistics (sheets of rows and columnar statistics), you could import it into a managed public cloud database such as AWS Relational Database carrier or Azure SQL, however you then’ll be left with additional building work around workflow equipment and dataops.

one more choice is to evaluation SaaS and low-code databases that assist you to create the database constructions, load facts, strengthen role-based workflows, and create dashboards. platforms to consider are Caspio, Kintone, and Quickbase.

outside of SaaS, low-code, and cloud databases, architects and IT leaders should still also research area-specific facts lakes and facts warehouses that guide full, end-to-end workflows. Examples encompass client facts structures for customer records, AIops solutions for IT operations, advertising automation platforms, and business search platforms. These structures permit less difficult connection to the standard data sources for his or her domains after which deliver a mix of workflow, computer discovering, and reporting capabilities.

allow departmental collaborations and workflows

Let’s accept as true with a use case the place a branch or crew makes use of spreadsheets to manage a workflow. The workflow generally is a advertising and marketing crew’s editorial calendar, a creation branch’s Kanban to manage work intake and achievement, or a container carrier crew monitoring their jobs. These spreadsheets usually store simply ample facts to control the workflow however lack the configuration to tune and govern the system.

SaaS and no-code equipment focal point on enabling a hybrid of workflow and collaboration capabilities. systems to agree with consist of Airtable, Asana, Jira Work administration, Monday, Smartsheet, and TrackVia.

For higher scale and more complex workflows, you’ll are looking to review area-specific systems with data fashions, workflow configurations, and embedded finest practices. These consist of a wide array of systems, including commercial enterprise useful resource planning, consumer relationship administration, content material management, IT carrier management, agile collaboration, talent management, and monetary planning. 

Hyperautomate integrations and records flows

every now and then, spreadsheets are used as middleman steps in a knowledge flow, integration, or low-degree automation. A marketer might use a spreadsheet to merge e mail lists, or an IT ops engineer could have one for documenting the steps to restart an software server. there are many spreadsheet-in-the-core use cases where a person connects two ends of a circulation and performs some manual work within the middle.  

a few several types of structures can change the spreadsheet-in-the-core use case:

  • Extract, radically change, and load (ETL), facts prep, and different dataops structures comparable to Alteryx, Informatica, Tableau, and Talend help information flows and pipelines.
  • Robotic technique automation (RPA) equipment equivalent to Automation anyplace, Blue Prism, and UiPath can automate information extraction from websites, SaaS, and other sources.
  • Citizen integration technologies aid if-this-then-that integrations between SaaS, cloud, and different tools, including Zapier, IFTTT, and Tray.io.
  • Integration systems assist statistics, API, and workflow integrations and encompass potent systems similar to Boomi, Celigo, Jitterbit, MuleSoft, and SnapLogic.
  • IT automation, nice assurance check automation, CI/CD, and configuring infrastructure as code (IaC) are examples of IT platforms used to consolidate scripts, manual work, and spreadsheets into repeatable and automatic techniques.
  • construct a low-code or no-code utility

    If a spreadsheet takes on diverse capabilities, together with loading data, processing it, enabling collaboration, and featuring outcomes, you may wish to increase an software to substitute it. Of path, which you could code an app, deploy it to a serverless architecture, and hold it through an agile development technique. but one cause these workflows evolved the usage of spreadsheets is that it can’t without difficulty keep up with the business calls for for brand spanking new apps and enhancements.

    today, a big share of apps is developed on low-code and no-code platforms. consider reviewing my previous posts on seven keys to identifying a low-code platform and the seven low-code structures developers should recognize. Some structures that help builders and citizen builders build spreadsheets into apps encompass Appian, Betty Blocks, Bizagi, Caspio, Claris, Creatio, Google AppSheet, Mendix, Microsoft PowerApps, Oracle APEX, OutSystems, Pega, Quickbase, Retool, Unqork, and Vantiq.

    before you abandon that spreadsheet

    despite the fact there are many alternatives for changing spreadsheets, keep in mind that apps can’t without difficulty substitute the openness and all of the flexibilities of the use of them. individuals love the versatility of spreadsheets and the potential so as to add columns, exchange statistics, and create formulas on the fly—whatever thing that you simply’ll seemingly control when migrating the information and workflow to different platforms. It additionally skill people have to get used to new experiences, equipment, and consumer interfaces, together with the conception that aspects of what americans did manually will now be automated.

    before getting started, it’s crucial to collaborate with the simple clients. Unwind how they do things today and rebuild the requirements on what they try to achieve with a watch towards the company functions, exceptional, and scale. most effective then are you able to discover structures, prototype tactics, develop solutions, and evolve improvements.

    Copyright © 2022 IDG Communications, Inc.




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