SnowPro Advanced Architect ARA-C01 Practice Test Questions

The Snowflake SnowPro Advanced Architect Certification will validate advanced knowledge and skills to apply comprehensive architect solutions using Snowflake. PassQuestion provides the latest SnowPro Advanced Architect ARA-C01 Practice Test Questions which are very similar to the practice test as well as the real exam. It is strongly recommended to ensure that we have covered all the objectives of the certification exam so that you can pass the exam easily on your first attempt. Hence, keep practicing until you are confident to take the real exams. Once you have spent some time learning these SnowPro Advanced Architect ARA-C01 Practice Test Questions, then you can face the real exam with more confidence and ensure passing it on your first attempt.

[ARA-C01] SnowPro Advanced: Architect Exam

A certified SnowPro Advanced, Architect has demonstrated specific knowledge and skills related to the design, development, and implementation of Snowflake solutions by successfully passing the certification exam. The individual has demonstrated the application of Snowflake best practices, advanced tuning, and real-world deployment scenarios.

SnowPro Advanced: Architect Certification Candidate

• 2+ years of practical experience with Snowflake as an Architect in a production environment. In these two years, successful candidates would have achieved hands-on expertise with SQL and SQL analytics, experience building out a complex ETL/ELT pipeline, experience implementing security and compliance requirements, and working with different data modeling techniques.
• Having coding experience outside of SQL and DevOps/DataOps design experience is a plus.

Exam Format

Exam Version: ARA-C01
Total Number of Questions: 65
Question Types: Multiple Select, Multiple Choice, True/False
Time Limit: 115 minutes
Languages: English
Registration Fee: $375 USD
Passing Score: 750 + Scaled Scoring from 0 - 1000
Prerequisites: SnowPro Core Certified

Exam Domain Breakdown

1.0 Domain: Account and Security

1.1 Design a Snowflake account and database strategy, based on business requirements.
Create and configure Snowflake parameters based on a central account and any additional accounts.
List the benefits and limitations of one Snowflake account as compared to multiple Snowflake accounts.

1.2 Design an architecture that meets data security, privacy, compliance, and governance requirements.
Configure Role Based Access Control (RBAC) hierarchy
System roles and associated best practices
Data Access
Data Security
Compliance

1.3 Outline Snowflake security principles and identify use cases where they should be applied.
Encryption
Network security
User, Role, Grants provisioning
Authentication

2.0 Domain:Snowflake Architecture

2.1 Outline the benefits and limitations of various data models in a Snowflake environment.
Data models

2.2 Design data sharing solutions, based on different use cases.
Use Cases
Sharing within the same organization/same Snowflake account
Sharing within a cloud region
Sharing across cloud regions
Sharing between different Snowflake accounts
Sharing to a non-Snowflake customer
Sharing Across platforms
Data Exchange
Data Sharing Methods

2.3 Create architecture solutions that support Development Lifecycles as well as workload requirements.
Data Lake and Environments
Workloads
Development lifecycle support

2.4 Given a scenario, outline how objects exist within the Snowflake Object hierarchy and how the hierarchy impacts an architecture.
Roles
Warehouses
Object hierarchy
Database

2.5 Determine the appropriate data recovery solution in Snowflake and how data can be restored.
Backup/Recovery
Disaster Recovery

3.0 Domain: Data Engineering

3.1 Determine the appropriate data loading or data unloading solution to meet business needs.
Data sources
Ingestion of the data
Architecture Changes
Data unloading

3.2 Outline key tools in Snowflake’s ecosystem and how they interact with Snowflake.
Connectors
Kafka
Spark
Python
Drivers
JDBC
OBDC
API endpoints
SnowSQL

3.3 Determine the appropriate data transformation solution to meet business needs.
Materialized Views, Views and Secure Views
Staging layers and tables
Querying semi-structured data
Data processing
Stored Procedures
Streams and Tasks
Functions

4.0 Domain: Performance Optimization

4.1 Outline performance tools, best practices, and appropriate scenarios where they should be applied.
Query profiling
Virtual Warehouse configuration
Clustering
Search Optimization
Caching
Query rewrite

4.2 Troubleshoot performance issues with existing architectures.
JOIN explosions
Warehouse selection (scaling up as compared to scaling out)
Best practices and optimization techniques
Duplication of data

View Online SnowPro Advanced Architect Certification ARA-C01 Free Questions

1. Which of the following statements are TRUE concerning a data consumer account in Snowflake? 
A. All objects in the shared database are always read-only for the consumer of the share
B. A consumer of a share does not necessarily need an account with Snowflake to be able to consume data
C. A consumer account must be in the same region and on the same cloud provider as the data provider account
D. A consumer needs to pay for the compute and storage of the shared data
E. A database ‘share’ can be ‘imported’ by at most 10 consumer accounts
Answers: A, B

2. Which of the following statements are FALSE concerning a data consumer account in Snowflake?
A. A single consumer account can contain objects from different providers
B. A consumer account can create clones of a shared database
C. A consumer account can perform time travel on a table within the shared database
D. A consumer account cannot forward (i.e. reshare) the shared databases and objects
Answers: B, C

3. Which of the following objects will NOT be cloned when cloning a schema?
A. A permanent Table
B. A temporary Table
C. A transient Table
D. An external table
E. Views
F. Internal (named) Stage
G. Stored Procedures
Answers: B, D, F

4. Select appropriate database objects which can NOT be part of a direct share.
A. Tables
B. External Tables
C. External Stages
D. Secure views
E. Secure Materialized views
F. Stored Procedure
Answers: C, F
    
5. To list all privileges and roles that a role named PYTHON_DEV_ROLE has, which of the following commands is the most appropriate one to use?
A. show grants
B. show grants in role PYTHON_DEV_ROLE
C. show grants of role PYTHON_DEV_ROLE
D. show grants to role PYTHON_DEV_ROLE
Answer: D

6. Which of the following programming languages are supported in Snowflake to write UDFs?

A. SQL
B. Java
C. .NET
D. C++
E. JavaScript
F. Python
Answers: A, B, E, F

7. In which of the following languages, can you write a stored procedure in Snowflake?
A. SQL
B. Java
C. Scala
D. JavaScript
E. Python
F. Snowflake Scripting
Answers: B, C, D, E, F

8. Which of the following are TRUE statements with respect to the Snowflake Connector for Kafka?
A. The Kafka connector relies on both – key pair authentication and username/password authentication
B. It is recommended to run your Kafka Connect instance in the same cloud provider region as your Snowflake account
C. Kafka connect cluster is a separate cluster from the Kafka cluster
D. The typical pattern with Kafka connect cluster in Snowflake is that one topic supplies messages (rows) for many Snowflake tables and many Kafka topics supply messages to one Snowflake table (i.e. many-to-many relationship)
Answers: B, C

What is GEEK

Buddha Community

Where To Learn Test Programming — July 2020 Edition

What do you do when you have lots of free time on your hands? Why not learn test programming strategies and approaches?

When you’re looking for places to learn test programming, Test Automation University has you covered. From API testing through visual validation, you can hone your skills and learn new approaches on TAU.

We introduced five new TAU courses from April through June, and each of them can help you expand your knowledge, learn a new approach, and improve your craft as a test automation engineer. They are:

These courses add to the other three courses we introduced in January through March 2020:

• IntelliJ for Test Automation Engineers (3 hrs 41 min)
• Cucumber with JavaScript (1 hr 22 min)
• Python Programming (2 hrs)

Each of these courses can give you a new set of skills.

Let’s look at each in a little detail.

Mobile Automation With Appium in JavaScript

Orane Findley teaches Mobile Automation with Appium in JavaScript. Orane walks through all the basics of Appium, starting with what it is and where it runs.

“Appium is an open-source tool for automating native, web, and hybrid applications on different platforms.”

In the introduction, Orane describes the course parts:

• Setup and Dependencies — installing Appium and setting up your first project
• Working with elements by finding them, sending values, clicking, and submitting
• Creating sessions, changing screen orientations, and taking screenshots
• Timing, including TimeOuts and Implicit Waits
• Collecting attributes and data from an element
• Selecting and using element states
• Reviewing everything to make it all make sense

The first chapter, broken into five parts, gets your system ready for the rest of the course. You’ll download and install a Java Developer Kit, a stable version of Node.js, Android Studio and Emulator (for a mobile device emulator), Visual Studio Code for an IDE, Appium Server, and a sample Appium Android Package Kit. If you get into trouble, you can use the Test Automation University Slack channel to get help from Orane. Each subchapter contains the links to get to the proper software. Finally, Orane has you customize your configuration for the course project.

Chapter 2 deals with elements and screen interactions for your app. You can find elements on the page, interact with those elements, and scroll the page to make other elements visible. Orane breaks the chapter into three distinct subchapters so you can become competent with each part of finding, scrolling, and interacting with the app. The quiz comes at the end of the third subchapter.

The remaining chapters each deal with specific bullets listed above: sessions and screen capture, timing, element attributes, and using element states. The final summary chapter ensures you have internalized the key takeaways from the course. Each of these chapters includes its quiz.

When you complete this course successfully, you will have both a certificate of completion and the code infrastructure available on your system to start testing mobile apps using Appium.

Selenium WebDriver With Python

Andrew Knight, who blogs as The Automation Panda, teaches the course on Selenium WebDriver with Python. As Andrew points out, Python has become a popular language for test automation. If you don’t know Python at all, he points you to Jess Ingrassellino’s great course, Python for Test Programming, also on Test Automation University.

In the first chapter, Andrew has you write your first test. Not in Python, but Gherkin. If you have never used Gherkin syntax, it helps you structure your tests in pseudocode that you can translate into any language of your choice. Andrew points out that it’s important to write your test steps before you write test code — and Gherkin makes this process straightforward.

The second chapter goes through setting up a pytest, the test framework Andrew uses. He assumes you already have Python 3.8 installed. Depending on your machine, you may need to do some work (Macs come with Python 2.7.16 installed, which is old and won’t work. Andrew also goes through the pip package manager to install pipenv. He gives you a GitHub link to his test code for the project. And, finally, he creates a test using the Gherkin codes as comments to show you how a test runs in pytest.

In the third chapter, you set up Selenium Webdriver to work with specific browsers, then create your test fixture in the pytest. Andrew reminds you to download the appropriate browser driver for the browser you want to test — for example, chromedriver to drive Chrome and geckodriver to drive Firefox. Once you use pipenv to install Selenium, you begin your test fixture. One thing to remember is to call an explicit quit for your webdriver after a test.

Chapter 4 goes through page objects, and how you abstract page object details to simplify your test structure. Chapter 5 goes through element locator structures and how to use these in Python. And, in Chapter 6, Andrew goes through some common webdriver calls and how to use them in your tests. These first six chapters cover the basics of testing with Python and Selenium.

Now that you have the basics down, the final three chapters review some advanced ideas: testing with multiple browsers, handling race conditions, and running your tests in parallel. This course gives you specific skills around Python and Selenium on top of what you can get from the Python for Test Programming course.

#tutorial #performance #testing #automation #test automation #automated testing #visual testing #visual testing best practices #testing tutorial

Testing Microservices Applications

The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.

This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?

A Brave New World

Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.

Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.

Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.

Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.

The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.

Keep in mind that there are additional things to focus on when testing microservices.

• Microservices rely on network communications to talk to each other, so network reliability and requirements must be part of the testing.
• Automation and infrastructure elements are now added as codes, and you have to make sure that they also run properly when microservices are pushed through the pipeline
• While containerization is universal, you still have to pay attention to specific dependencies and create a testing strategy that allows for those dependencies to be included

Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.

Contract Testing as an Approach

As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.

Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.

#testing #software testing #test automation #microservice architecture #microservice #test #software test automation #microservice best practices #microservice deployment #microservice components

Testing Microservices Applications

The shift towards microservices and modular applications makes testing more important and more challenging at the same time. You have to make sure that the microservices running in containers perform well and as intended, but you can no longer rely on conventional testing strategies to get the job done.

This is where new testing approaches are needed. Testing your microservices applications require the right approach, a suitable set of tools, and immense attention to details. This article will guide you through the process of testing your microservices and talk about the challenges you will have to overcome along the way. Let’s get started, shall we?

A Brave New World

Traditionally, testing a monolith application meant configuring a test environment and setting up all of the application components in a way that matched the production environment. It took time to set up the testing environment, and there were a lot of complexities around the process.

Testing also requires the application to run in full. It is not possible to test monolith apps on a per-component basis, mainly because there is usually a base code that ties everything together, and the app is designed to run as a complete app to work properly.

Microservices running in containers offer one particular advantage: universal compatibility. You don’t have to match the testing environment with the deployment architecture exactly, and you can get away with testing individual components rather than the full app in some situations.

Of course, you will have to embrace the new cloud-native approach across the pipeline. Rather than creating critical dependencies between microservices, you need to treat each one as a semi-independent module.

The only monolith or centralized portion of the application is the database, but this too is an easy challenge to overcome. As long as you have a persistent database running on your test environment, you can perform tests at any time.

Keep in mind that there are additional things to focus on when testing microservices.

• Microservices rely on network communications to talk to each other, so network reliability and requirements must be part of the testing.
• Automation and infrastructure elements are now added as codes, and you have to make sure that they also run properly when microservices are pushed through the pipeline
• While containerization is universal, you still have to pay attention to specific dependencies and create a testing strategy that allows for those dependencies to be included

Test containers are the method of choice for many developers. Unlike monolith apps, which lets you use stubs and mocks for testing, microservices need to be tested in test containers. Many CI/CD pipelines actually integrate production microservices as part of the testing process.

Contract Testing as an Approach

As mentioned before, there are many ways to test microservices effectively, but the one approach that developers now use reliably is contract testing. Loosely coupled microservices can be tested in an effective and efficient way using contract testing, mainly because this testing approach focuses on contracts; in other words, it focuses on how components or microservices communicate with each other.

Syntax and semantics construct how components communicate with each other. By defining syntax and semantics in a standardized way and testing microservices based on their ability to generate the right message formats and meet behavioral expectations, you can rest assured knowing that the microservices will behave as intended when deployed.

Ways to Test Microservices

It is easy to fall into the trap of making testing microservices complicated, but there are ways to avoid this problem. Testing microservices doesn’t have to be complicated at all when you have the right strategy in place.

There are several ways to test microservices too, including:

• Unit testing: Which allows developers to test microservices in a granular way. It doesn’t limit testing to individual microservices, but rather allows developers to take a more granular approach such as testing individual features or runtimes.
• Integration testing: Which handles the testing of microservices in an interactive way. Microservices still need to work with each other when they are deployed, and integration testing is a key process in making sure that they do.
• End-to-end testing: Which⁠—as the name suggests⁠—tests microservices as a complete app. This type of testing enables the testing of features, UI, communications, and other components that construct the app.

What’s important to note is the fact that these testing approaches allow for asynchronous testing. After all, asynchronous development is what makes developing microservices very appealing in the first place. By allowing for asynchronous testing, you can also make sure that components or microservices can be updated independently to one another.

#blog #microservices #testing #caylent #contract testing #end-to-end testing #hoverfly #integration testing #microservices #microservices architecture #pact #testing #unit testing #vagrant #vcr

Software Testing 101: Regression Tests, Unit Tests, Integration Tests

Automation and segregation can help you build better software
If you write automated tests and deliver them to the customer, he can make sure the software is working properly. And, at the end of the day, he paid for it.

Ok. We can segregate or separate the tests according to some criteria. For example, “white box” tests are used to measure the internal quality of the software, in addition to the expected results. They are very useful to know the percentage of lines of code executed, the cyclomatic complexity and several other software metrics. Unit tests are white box tests.

#testing #software testing #regression tests #unit tests #integration tests

How to Do API Testing?

Nowadays API testing is an integral part of testing. There are a lot of tools like postman, insomnia, etc. There are many articles that ask what is API, What is API testing, but the problem is How to do API testing? What I need to validate.

Note: In this article, I am going to use postman assertions for all the examples since it is the most popular tool. But this article is not intended only for the postman tool.

Let’s directly jump to the topic.

Let’s consider you have an API endpoint example http://dzone.com/getuserDetails/{{username}} when you send the get request to that URL it returns the JSON response.

My API endpoint is http://dzone.com/getuserDetails/{{username}}

The response is in JSON format like below

JSON

{
  "jobTitle": "string",
  "userid": "string",
  "phoneNumber": "string",
  "password": "string",
  "email": "user@example.com",
  "firstName": "string",
  "lastName": "string",
  "userName": "string",
  "country": "string",
  "region": "string",
  "city": "string",
  "department": "string",
  "userType": 0
}

In the JSON we can see there are properties and associated values.

Now, For example, if we need details of the user with the username ‘ganeshhegde’ we need to send a **GET **request to **http://dzone.com/getuserDetails/ganeshhegde **

Now there are two scenarios.

1. Valid Usecase: User is available in the database and it returns user details with status code 200

2. Invalid Usecase: User is Unavailable/Invalid user in this case it returns status with code 404 with not found message.

#tutorial #performance #api #test automation #api testing #testing and qa #application programming interface #testing as a service #testing tutorial #api test