DVA-C02 Übungstest: AWS Certified Developer - Associate & DVA-C02 Braindumps Prüfung

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Die Amazon DVA -C02 -Prüfung, auch als AWS Certified Developer - Associate Exam bekannt, ist eine Zertifizierungsprüfung, die von Amazon Web Services (AWS) für Softwareentwickler angeboten wird, die ihre Fähigkeiten und Kenntnisse in der Entwicklung von Anwendungen auf der AWS -Plattform validieren möchten. Diese Prüfung wurde entwickelt, um die Fähigkeit eines Kandidaten zu testen, Cloud-basierte Anwendungen mithilfe von AWS-Diensten und APIs zu entwerfen, zu entwickeln und bereitzustellen. Die Prüfung deckt eine breite Palette von Themen ab, einschließlich AWS -Kerndiensten, Sicherheit, Datenbanken und serverloser Architektur.
Amazon DVA-C02 Prüfungsplan:
| Thema | Einzelheiten |
|---|
| Thema 1 | - Deployment: AWS developers learn to prepare application artifacts for deployment, conduct rigorous testing in development environments, and automate deployment testing workflows. This topic also introduces the use of AWS CI
- CD services for efficient code deployment. The knowledge ensures effective application lifecycle management in production environments.
|
| Thema 2 | - Development with AWS Services: In this topic, AWS developers gain expertise in writing and managing code for applications hosted on AWS, including leveraging AWS Lambda for serverless architectures. The focus also includes using data stores effectively in application development. The topic sharpens skills in cloud-native application development, aligning with the requirements of scalable, efficient systems.
|
| Thema 3 | - Troubleshooting and Optimization:This topic prepares AWS developers to assist in root cause analysis, integrate observability into their code with instrumentation, and optimize applications using AWS services and features. Mastery of these skills ensures developers can maintain and enhance application performance and reliability efficiently.
|
| Thema 4 | - Security: This topic empowers AWS developers to implement robust authentication and authorization mechanisms for applications and AWS services. It also highlights best practices in applying encryption using AWS tools and securely managing sensitive data within application code. Developers enhance their ability to create secure, compliant applications in the AWS ecosystem.
|
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DVA-C02 Übungsmaterialien - DVA-C02 Lernressourcen & DVA-C02 Prüfungsfragen
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Amazon AWS Certified Developer - Associate DVA-C02 Prüfungsfragen mit Lösungen (Q224-Q229):
224. Frage
A company has an online order website that uses Amazon DynamoDB to store item inventory. A sample of the inventory object is as follows:
* Id: 456
* Price: 650
* Product.Category: "Sporting Goods"
A developer needs to reduce all inventory prices by 100 as long as the resulting price would not be less than
500.
What should the developer do to make this change with the LEAST number of calls to DynamoDB?
- A. Perform a DynamoDB UpdateItem operation with a condition expression of Price - 100 >= 500.
- B. Perform a DynamoDB UpdateItem operation with a condition expression of Price >= 600.
- C. Perform a DynamoDB UpdateItem operation with a condition expression of Product.Category IN ("Sporting Goods") AND Price >= 600.
- D. Perform a DynamoDB Query operation with the Id. If the price is >= 600, perform an UpdateItem operation to update the price.
Antwort: B
Begründung:
The goal is to reduce a given item's price by 100 only when the resulting value would not fall below 500.
That means the update should occur only when the current Price is at least 600 (because Price - 100 >= 500 # Price >= 600). The requirement also says to do this with the least number of calls to DynamoDB. The most efficient approach is to use a single UpdateItem call with a ConditionExpression so DynamoDB enforces the rule atomically.
Option B does exactly that: issue one UpdateItem request that updates Price = Price - :delta (using an update expression) while including a condition like Price >= :minPriceBeforeReduction (where :
minPriceBeforeReduction is 600). If the condition is true, DynamoDB performs the update; if it's false, DynamoDB rejects the write with ConditionalCheckFailedException. This avoids a separate read/query call and prevents race conditions where the price could change between a read and a subsequent write.
Option A requires two calls (Query then UpdateItem) and is vulnerable to time-of-check/time-of-use issues unless additional conditional logic is added to the update anyway. Option C adds an extra condition on category, but the requirement is "reduce all inventory prices" subject to the minimum resulting price; filtering by category is unnecessary and can cause eligible items in other categories to be skipped. Option D expresses the rule in a mathematical form; while conceptually correct, DynamoDB condition expressions do not generally support arbitrary arithmetic in the condition the same way as a simple comparison, so the standard implementation is to compare against 600 directly.
Therefore, B is the correct choice: one UpdateItem call with a condition expression Price >= 600 minimizes DynamoDB calls and enforces the pricing rule safely and atomically.
225. Frage
A development team maintains a web application by using a single AWS CloudFormation template. The template defines web servers and an Amazon RDS database. The team uses the Cloud Formation template to deploy the Cloud Formation stack to different environments. During a recent application deployment, a developer caused the primary development database to be dropped and recreated. The result of this incident was a loss of data. The team needs to avoid accidental database deletion in the future.
Which solutions will meet these requirements? (Choose two.)
- A. Modify the database to use a Multi-AZ deployment.
- B. Add a Cloud Formation DeletionPolicy attribute with the Retain value to the stack.
- C. Update the CloudFormation stack policy to prevent updates to the database.
- D. Create a CloudFormation stack set for the web application and database deployments.
- E. Add a CloudFormation Deletion Policy attribute with the Retain value to the database resource.
Antwort: C,E
Begründung:
https://aws.amazon.com/ru/premiumsupport/knowledge-center/cloudformation-accidental- updates/
226. Frage
A developer is working on a web application that uses Amazon DynamoDB as its data store The application has two DynamoDB tables one table that is named artists and one table that is named songs The artists table has artistName as the partition key. The songs table has songName as the partition key and artistName as the sort key The table usage patterns include the retrieval of multiple songs and artists in a single database operation from the webpage. The developer needs a way to retrieve this information with minimal network traffic and optimal application performance.
Which solution will meet these requirements'?
- A. Perform a BatchGetltem operation that returns items from the two tables. Use the list of songName artistName keys for the songs table and the list of artistName key for the artists table.
- B. Perform a BatchGetltem operation on the songs table that uses the songName/artistName keys. Perform a BatchGetltem operation on the artists table that uses artistName as the key.
- C. Perform a Scan operation on each table that filters by the list of songName/artistName for the songs table and the list of artistName in the artists table.
- D. Create a local secondary index (LSI) on the songs table that uses artistName as the partition key Perform a query operation for each artistName on the songs table that filters by the list of songName Perform a query operation for each artistName on the artists table
Antwort: A
Begründung:
Explanation
BatchGetItem can return one or multiple items from one or more tables. For reference check the link below
https://docs.aws.amazon.com/amazondynamodb/latest/APIReference/API_BatchGetItem.html
227. Frage
A company is using Amazon RDS as the Backend database for its application. After a recent marketing campaign, a surge of read requests to the database increased the latency of data retrieval from the database.
The company has decided to implement a caching layer in front of the database. The cached content must be encrypted and must be highly available.
Which solution will meet these requirements?
- A. Amazon ElastiCache for Redis in cluster mode
- B. Amazon ElastiCache to Memcached
- C. Amazon DynamoDB Accelerate (DAX)
- D. Amazon Cloudfront
Antwort: A
Begründung:
Explanation
This solution meets the requirements because it provides a caching layer that can store and retrieve encrypted data from multiple nodes. Amazon ElastiCache for Redis supports encryption at rest and in transit, and can scale horizontally to increase the cache capacity and availability. Amazon ElastiCache for Memcached does not support encryption, Amazon CloudFront is a content delivery network that is not suitable for caching database queries, and Amazon DynamoDB Accelerator (DAX) is a caching service that only works with DynamoDB tables.
228. Frage
A bookstore has an ecommerce website that stores order information in an Amazon DynamoDB table named BookOrders. The DynamoDB table contains approximately one million records.
The table uses OrderID as a partition key. There are no other indexes.
A developer wants to build a new reporting feature to retrieve all records from the table for a specified customer, based on a CustomerID property.
- A. Create a DynamoDB local secondary index (LSI) on the table. Use CustomerID as the partition key.Use the specified CustomerID value to run a query on the table.
- B. Create a DynamoDB global secondary index (GSI) on the table. Use CustomerID as the sort key. Use a filter expression to perform a scan operation on the table to match on the specified CustomerID value.
- C. Create a DynamoDB global secondary index (GSI) on the table. Use CustomerID as the partition key.
Use the specified CustomerID value to run a query on the table. - D. Create a DynamoDB local secondary index (LSI) on the table. Use CustomerID as the sort key. Run a PartiQL query on the table with a SELECT statement where CustomerID equals the specified CustomerID value.
Antwort: C
Begründung:
Comprehensive and Detailed Step-by-Step Explanation:
The requirement is to query records by CustomerID, which is not the current partition key (OrderID). To achieve this efficiently:
* Option A: Create a GSI with CustomerID as the Partition Key:
* A Global Secondary Index (GSI) allows developers to create a different partition key and optional sort key for querying the data.
* By creating a GSI with CustomerID as the partition key, the developer can query the table efficiently using CustomerID as the primary lookup key.
* This avoids scanning the entire table and matches the requirement.
* Why Other Options Are Incorrect:
* Option B: Using CustomerID as a sort key for the GSI and performing a scan operation is inefficient. Queries are optimized, but scans are not.
* Option C and D: Local Secondary Indexes (LSI) are only valid when the partition key remains the same as the base table. Since OrderID is the base table's partition key, using CustomerID as the partition key or sort key in an LSI is not valid.
References:
Amazon DynamoDB Documentation: GSIs
229. Frage
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