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NEW QUESTION: 1
You were just hired as a DevOps Engineer for a startup. Your startup uses AWS for 100% of their
infrastructure. They currently have no automation at all for deployment, and they have had many failures
while trying to deploy to production.The company has told you deployment process risk mitigation is the most
important thing now, and you have a lot of budget for tools and AWS resources.
Their stack includes a 2-tier API with data stored in DynamoDB or S3, depending on type. The Compute layer
is EC2 in Auto Scaling Groups. They use Route53 for DNS pointing to an ELB. An ELB balances load across
the EC2 instances. The scaling group properly varies between 4 and 12 EC2 servers. Which of the following
approaches, given this company's stack and their priorities, best meets the company's needs?
A. Model the stack in AWS Elastic Beanstalk as a single Application with multiple Environments. Use
Elastic Beanstalk's Rolling Deploy option to progressively roll out application code changes when
promoting across environments.
B- Model the stack in three CloudFormation templates: Data layer, compute layer, and networking layer.
Write stack deployment and integration testing automation following Blue-Green methodologies. *>/
B. Model the stack in 1 CloudFormation template, to ensure consistency and dependency graph resolution.
Write deployment and integration testingautomation following Rolling Deployment methodologies.
C. Model the stack in AWS OpsWorks as a single Stack, with 1 compute layer and its associated ELB. Use
Chef and App Deployments to automate Rolling Deployment.
Answer: C
Explanation:
Explanation
Here you are using 2 of the best practices for deployment, one is Blue Green Deployments and the other is
using Nested Cloudformation stacks.
The AWS Documentation mentions the below on nested stacks
As your infrastructure grows, common patterns can emerge in which you declare the same components in each
of your templates. You can separate out these
common components and create dedicated templates for them. That way, you can mix and match different
templates but use nested stacks to create a single,
unified stack. Nested stacks are stacks that create other stacks. To create nested stacks, use the
AWS::CloudFormation::Stackresource in your template to reference
other templates.
For more information on Cloudformation best practises, please visit the link:
* http://docs.aws.amazon.com/AWSCIoudFormation/latest/UserGuide/best-practices.
html For more information on Blue Green Deployment, please visit the link:
* https://dOawsstatic.com/whitepapers/AWS_Blue_Green_Deployments.pdf
NEW QUESTION: 2
Which of the following objects cannot be imported via the Salesforce.com Import Wizard?
A. Leads
B. Opportunities
C. Accounts
D. Solutions
Answer: B
NEW QUESTION: 3
CORRECT TEXT
Problem Scenario 83 : In Continuation of previous question, please accomplish following activities.
1. Select all the records with quantity >= 5000 and name starts with 'Pen'
2. Select all the records with quantity >= 5000, price is less than 1.24 and name starts with
'Pen'
3. Select all the records witch does not have quantity >= 5000 and name does not starts with 'Pen'
4. Select all the products which name is 'Pen Red', 'Pen Black'
5. Select all the products which has price BETWEEN 1.0 AND 2.0 AND quantity
BETWEEN 1000 AND 2000.
Answer:
Explanation:
See the explanation for Step by Step Solution and configuration.
Explanation:
Solution :
Step 1 : Select all the records with quantity >= 5000 and name starts with 'Pen' val results = sqlContext.sql(......SELECT * FROM products WHERE quantity >= 5000 AND name LIKE 'Pen %.......) results.show()
Step 2 : Select all the records with quantity >= 5000 , price is less than 1.24 and name starts with 'Pen' val results = sqlContext.sql(......SELECT * FROM products WHERE quantity >= 5000 AND price < 1.24 AND name LIKE 'Pen %.......) results. showQ
Step 3 : Select all the records witch does not have quantity >= 5000 and name does not starts with 'Pen' val results = sqlContext.sql('.....SELECT * FROM products WHERE NOT (quantity >= 5000
AND name LIKE 'Pen %')......)
results. showQ
Step 4 : Select all the products wchich name is 'Pen Red', 'Pen Black'
val results = sqlContext.sql('.....SELECT' FROM products WHERE name IN ('Pen Red',
'Pen Black')......)
results. showQ
Step 5 : Select all the products which has price BETWEEN 1.0 AND 2.0 AND quantity
BETWEEN 1000 AND 2000.
val results = sqlContext.sql(......SELECT * FROM products WHERE (price BETWEEN 1.0
AND 2.0) AND (quantity BETWEEN 1000 AND 2000)......)
results. show()