Showing posts with label RDS. Show all posts
Showing posts with label RDS. Show all posts

December 11, 2022

Top 20 AWS RDS Interview Questions and Answers


A managed service called Amazon Relational Database Service (Amazon RDS) makes it simple to set up, run, and scale a relational database in the cloud. While managing time-consuming database administration activities, it offers cost-effective and scalable capacity, freeing you to concentrate on your applications and company.

You have access to the features of a well-known MySQL, MariaDB, Oracle, SQL Server, or PostgreSQL database using Amazon RDS. This indicates that Amazon RDS should function seamlessly with the code, apps, and tools you now use with your existing databases. Your database can be automatically backed up via Amazon RDS, and the most recent version of your database software can always be used. You gain from the adaptability that comes with being able to quickly scale the computing or storage resources connected to your relational database instance. Additionally, for read-intensive database workloads, Amazon RDS makes it simple to implement replication to increase database availability, improve data durability, or extend beyond the limitations of a single database instance. There are no upfront costs involved, and you just pay for the resources you use, like with all Amazon Web Services.

 

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Ques. 1): What should I do if my queries appear to be taking a while to execute?

Answer:

We recommend turning up Enhanced Monitoring for production databases, which gives you access to more than 50 CPU, RAM, file system, and disc I/O metrics. You can select the granularity and enable these functionalities on an instance-by-instance basis (all the way down to 1 second). The performance of queries can be negatively impacted by high CPU utilisation, so you might choose to scale your DB instance class in this situation.

If your database uses RDS for MySQL or MariaDB, you can examine the slow query logs to find out whether any SQL queries are performing slowly and, if so, what their individual performance traits are. To review the slow-moving SQL queries, you could set the "slow query log" DB Parameter and query the mysql.slow log table. You can spot slow queries if you're using RDS for Oracle by looking at the information in the Oracle trace file. If you're using RDS for SQL Server, you can find slow queries using the client side SQL Server traces.

 

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Ques. 2): How can you can examine the slow query logs to find out whether any SQL queries are performing slowly?

Answer:

To review the slow-moving SQL queries, you could set the "slow query log" DB Parameter and query the mysql.slow log table. You can spot slow queries if you're using RDS for Oracle by looking at the information in the Oracle trace file. If you're using RDS for SQL Server, you can find slow queries using the client side SQL Server traces.

Using the AWS Management Console, Amazon RDS APIs, or AWS Command Line Interface, creating DB instances is straightforward. Using the AWS Management Console, click "RDS" and then the "Launch DB Instance" button on the Instances tab to start a database instance. The parameters for your database instance can then be specified, including the database engine and version, licence model, instance type, storage type and quantity, and principal user credentials.

 

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Ques. 3): When would I utilise Relational Database AMIs for Amazon EC2 instead of Amazon RDS?

Answer:

For developers, Amazon Web Services offers a variety of database substitutes. By offloading database administration, Amazon RDS enables you to run a fully managed and feature-rich relational database. You may control your own relational database in the cloud by utilising one of our many relational database AMIs on Amazon EC2. These alternatives have significant differences that could make one more suitable for your use case.


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Ques. 4): How do I load data into an instance of Amazon RDS DB?

Answer:

You can import data into Amazon RDS in a number of straightforward ways, including using the mysqldump or mysqlimport utilities for MySQL; Data Pump, import/export, or SQL Loader for Oracle; the Import/Export wizard, full backup files (.bak files), or Bulk Copy Program (BCP) for SQL Server; or pg dump for PostgreSQL.


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Ques. 5): Can I test a new version of my database before upgrading?

Answer:

Yes. To achieve this, you can take a database snapshot of your current database instance, restore the database instance using the database snapshot, then start a version upgrade for the newly created database instance. Before determining whether or not to upgrade your original DB instance, you can experiment securely on the upgraded duplicate of your DB instance.


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Ques. 6): What benefits does the Amazon RDS AWS Free Tier provide?

Answer:

The Bring-Your-Own-License (BYOL) licencing model for Oracle, MySQL, MariaDB, PostgreSQL, and SQL Server Express Edition are supported under the AWS Free Tier for Amazon RDS service. There is a monthly limit of 750 instance hours for the free use tier. Customers also get 20 GB of free backup storage and 20 GB of general purpose (SSD) database storage each month.

 

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Ques. 7): What if I want to cover an existing database instance with a reserved instance?

Answer:

Simply acquire a DB instance reservation in the same Region as the DB instance you are presently running and want to reserve, with the same DB instance class, DB engine, Multi-AZ option, and License Model. If the reservation purchase is successful, Amazon RDS will immediately charge your existing DB instance with the new hourly usage fee.


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Ques. 8): Are Multi-AZ deployments able to use reserved instances?

Answer:

Yes. When purchasing a reserved instance, you can choose the Multi-AZ option from the list of potential DB instance configurations. Additionally, a Multi-AZ reserved instance will cover usage for two Single-AZ DB instances if you are using a DB engine and licence model that enable flexible reserved instance sizes.


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Ques. 9): Will my database instance be accessible after scaling?

Answer:

You can increase the storage space allotted to your DB Instance while still keeping it available. However, your database will be briefly inaccessible when the DB instance class is changed if you want to scale the compute resources that are available to your DB instance up or down. Unless you specify that the adjustment should be done immediately, this brief period of unavailability usually only lasts a few minutes and occurs during the maintenance window for your DB Instance.

 

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Ques. 10): Does my DB Instance automatically do backups, or do I need to turn them on?

Answer:

Your DB Instance can automatically be backed up with a 7-day retention period via Amazon RDS by default. Only active DB Instances are eligible for the free backup storage, which is capped at the size of your supplied database. For instance, we will give you 100 GB-months of backup storage for free if you have 100 GB of allocated database storage every month.

When creating a new DB Instance, you can use the console, the CreateDBInstance API, or the ModifyDBInstance API to change the backup retention duration (for existing instances). You can use these APIs to change the RetentionPeriod parameter to any number from 0 (which will disable automated backups) to the desired number of days. The value can't be set to 0 if the DB instance is a source to Read Replicas. 

 

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Ques. 11): How does Amazon RDS function with Amazon Virtual Private Cloud (VPC)?

Answer:

Establish a virtual networking environment with total control over elements including private IP address ranges, subnets, routing tables, and network gateways using Amazon VPC to create a private, isolated area of the AWS cloud. By defining a virtual network topology and customising the network configuration with Amazon VPC, you may make your virtual network closely match an IP network that you might run in your own data centre.

When you want to preserve non-publicly accessible backend servers on a private subnet while still running a public-facing web service, VPC can be useful. You can create a public-facing subnet for your webservers that has access to the Internet, and place your backend Amazon RDS DB Instances in a private-facing subnet with no Internet access.


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Ques. 12): What security measures should I do to guarantee that my application may access my DB Instances in VPC?

Answer:

To make sure that your DB instance can be reached from your client instances in the VPC, it is your responsibility to adjust the routing tables and networking ACLs in the VPC. Your client's EC2 instance and Amazon RDS DB Instance may be in separate Availability Zones for Multi-AZ setups after failover. You should set up your networking ACLs to permit communication across AZs.

 

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Ques. 13): What is the difference between an AWS account and an Amazon RDS primary user account?

Answer:

You must have a developer account with AWS in order to use Amazon RDS. You will be asked to create one when you start the Amazon RDS sign-up process if you don't already have one. A primary user account is utilised exclusively in the context of Amazon RDS to manage access to your DB Instance and is distinct from an AWS developer account (s). Your DB Instance can be accessed via the principal user account, which is a native database user account.

Each DB Instance can have a primary user name and password specified when the DB Instance is created. Once you have created your DB Instance, you can connect to the database using the primary user credentials. Subsequently, you may also want to create additional user accounts so that you can restrict who can access your DB Instance.


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Ques. 14): On my Amazon RDS databases, can I encrypt data in transit?

Answer:

For all database engines supported by Amazon RDS, encryption at rest is supported using keys managed by AWS Key Management Service (KMS). A database instance running with Amazon RDS encryption encrypts all automated backups, read replicas, snapshots, and data stored at rest in the underlying storage. The handling of encryption and decryption is transparent.

By producing a DB snapshot, a copy of that snapshot, and a KMS encryption key, you may also add encryption to a previously unencrypted DB instance or DB cluster. After that, you can use the encrypted snapshot to restore an encrypted database instance or database cluster. Amazon RDS for Oracle and SQL Server support those engines' Transparent Data Encryption (TDE) technologies.


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Ques. 15): How do I pick the appropriate setup settings for my DB Instance(s)?

Answer:

By default, Amazon RDS selects the best configuration settings for your DB Instance while taking the instance class and storage capacity into consideration. The Amazon RDS APIs, the AWS Command Line Interface, or the AWS Management Console can all be used to modify them, though. Please be aware that altering configuration parameters from recommended values can result in unanticipated consequences such as performance degradation or system failures and should only be done by experienced users who are willing to take these risks.

 

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Ques. 16): Will I be informed if there is an automated failover?

Answer:

Yes, to let you know that an automatic failover took place, Amazon RDS will broadcast a DB instance event. To retrieve details about events pertaining to your DB instance, utilise the DescribeEvents API or the "Events" component of the Amazon RDS Console. To receive notifications when particular DB events happen, you may also use Amazon RDS Event Notifications.

 

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Ques. 17): How does running a database instance as a read replica work?

Answer:

For read-intensive database workloads, read replicas make it simple to utilise supported engines' built-in replication functionality to elastically expand out beyond the capacity restrictions of a single DB instance.

With just a few clicks in the AWS Management Console using the CreateDBInstanceReadReplica API, you may build a read replica. Database updates on the source DB instance will be duplicated using a supported engine's native, asynchronous replication once the read replica has been built. For a specific source DB Instance, you can build multiple read replicas and divide the read traffic from your application across them.

Read replicas are susceptible to the advantages and disadvantages of the built-in replication of supported engines. The replication lag might vary greatly, and in particular, updates are applied to your read replica(s) after they happen on the source DB instance. Along with the improved database write availability and data durability that Multi-AZ deployments offer, read replicas can be used with Multi-AZ deployments to benefit from read scaling.

 

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Ques. 18): How can I establish a connection to my read replica?

Answer:

By retrieving the endpoint(s) for your read replica using the DescribeDBInstance API or the AWS Management Console, you can connect to a read replica in the same way that you would connect to a conventional DB instance (s). Your application will decide how read traffic will be split across your read replicas if you have more than one.

 

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Ques. 19): Can I utilise a read replica to increase write availability in the database or to safeguard the data on my source DB instance against failure scenarios?

Answer:

We advise running your DB instance as a Multi-AZ deployment if you want to employ replication to boost database write availability and safeguard recent database modifications against various failure scenarios. Database writes occur on a read replica with Amazon RDS Read Replicas, which leverage supported engines' native, asynchronous replication, after they have already occurred on the source DB instance. This replication "lag" might vary greatly.

In contrast, Multi-AZ installations use synchronous replication, which allows all database writes to occur simultaneously on the primary and standby. This safeguards your most recent database updates, which need to be accessible on the standby in the event that a failover is necessary.

Replication is fully controlled with Multi-AZ setups as well. In the event of an outage, Amazon RDS immediately initiates a failover to the standby (or to a read replica, in the case of Amazon Aurora) and monitors for DB instance failure conditions or Availability Zone failure.

 

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Ques. 20): Can I only perform database read operations on my read replicas?

Answer:

Read traffic is intended to be served by read replicas. Advanced users could, however, want to execute Data Definition Language (DDL) SQL operations against a read replica in some use situations. Adding a database index to a read replica that is used for business reporting without adding the same index to the relevant source DB instance is one example.

You may set up Amazon RDS for MySQL to allow DDL SQL statements against a read replica. Change the active DB parameter group for the read replica by changing the "read only" parameter to "0" if you want to enable operations other than reads for a specific read replica.

 


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November 23, 2021

Top 20 AWS Database Interview Questions and Answers

  

Ques: 1). What are your thoughts on the Amazon Database?

Answer: 

Amazon Database is an Amazon Web Services offering that includes managed databases, managed services, and NoSQL. It also comes with a fully managed petabyte-scale data warehouse and in-memory caching as a service. There are four AWS database services to choose from, and the user can use one or all of them depending on their needs. DynamoDB, RDS, RedShift, and ElastiCache are the Amazon database services.

 

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Ques: 2). What are the features of Amazon Database?

Answer: 

Following are the important features of Amazon Database:


  • Easy to administer
  • Highly scalable
  • Durable and reliable
  • Faster performance
  • Highly available
  • More secure
  • Cost-effective

 

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 Ques: 3). What is a key-value store, and how does it work?

Answer: 

A key-value store is a database service that makes it easier to store, update, and query items that are identified by their keys and values. These objects are made up of keys and values that make up the actual content that is saved.

 

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Ques: 4).  What Is A Data Warehouse, And How Can Amazon Redshift Help With Storage?

Answer: 

A data warehouse can be conceived of as a repository for data acquired and stored from the company's systems and other sources. As a result, a data warehouse's design is three-tiered:

The tools that clean and collect data are found on the bottom rung.

We have tools in the intermediate layer that use Online Analytical Processing Server to alter the data.

We have various tools on the top layer that execute data analysis and data mining on the front end.

Setting up and maintaining a data warehouse costs a lot of money, especially as an organization's data grows and its data storage servers need to be upgraded on a regular basis. As a result, AWS RedShift was created, allowing businesses to store their data in Amazon's cloud-based warehouses.

 

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Ques: 5). What Is The Difference Between A Leader Node And A Compute Node?

Answer: 

The queries from the client application are received in a leader node, where they are parsed and an execution plan is created. The stages for processing these queries are created, and the outcome is returned to the client application.

The steps allocated in the leader node are completed in a compute node, and the data is transferred. After that, the result is returned to the leader node before being delivered to the client application.

 

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Ques: 6). What Is Amazon ElastiCache, and How Does It Work?

Answer: 

Amazon ElastiCache is an in-memory key-value store that can handle Redis and Memcached as key-value engines. It is a fully managed and zero administration service that Amazon has hardened. You may use Amazon ElastiCache to either create a new high-performance application or upgrade an existing one. ElastiCache has a wide range of applications in gaming, healthcare, and other fields.

 

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Ques: 7). What Is Amazon ElastiCache's Purpose?

Answer: 

The caching of information that is utilised repeatedly could increase the performance of online applications. Using in-memory-caching, the data may be accessed very quickly. There is no need to manage a separate caching server with ElastiCache. An open source compatible in-memory data source with high throughput and low latency can be readily deployed or run.

 

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Ques: 8). When would I prefer Provisioned IOPS over Standard RDS storage?

Answer: 

Provisioned IOPS deliver high IO rates but on the other hand it is expensive as well. Batch processing workloads do not require manual intervention they enable full utilization of systems, therefore a provisioned IOPS will be preferred for batch oriented workload.

 

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Ques: 9). What Oracle features are available in AWS RDS?

Answer: 

Oracle is a well-known relational database that is available through Amazon RDS with enterprise version features. Almost every Oracle functionality may be used with the RDS platform.

If no version is specified when the database is created, it defaults to the most recent version available at the moment. In a Python SDK programme, here's an example of how to access the supported DB Engine versions using the AWS API.

 

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Ques: 10). What are the differences between Amazon RDS, DynamoDB, and Redshift?

Answer: 

Amazon RDS is a relational database management service that handles patching, upgrading, and data backups for you without requiring your involvement. RDS is a database management service that exclusively handles structured data.

On the other hand, DynamoDB is a NoSQL database service, which works with unstructured data.

Redshift is a data warehouse product that is utilised in data analysis and is a completely different service.


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Ques: 11). Can I use Amazon RDS to operate many database instances for free?

Answer: 

Yes. You can operate many Single-AZ Micro database instances, and they're all free! Any use of more than 750 instance hours across all Amazon RDS Single-AZ Micro DB instances, across all qualifying database engines and locations, will be paid at normal Amazon RDS charges. For example, if you run two Single-AZ Micro DB instances for 400 hours each in a month, you'll have 800 instance hours total, with 750 hours being free. The remaining 50 hours will be charged at the usual Amazon RDS rate.


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Ques: 12). What is Oracle Licensing and how does it work?

Answer: 

Oracle licenses can be used in RDS in two ways:

Model with a License

The license for the software you'll use is held by Amazon in this model. Also, through its support programme, AWS provides support for both AWS and Oracle products. As a result, the user does not need to purchase a separate license. The user's licensing costs are included in the platform pricing.

Bring Your Own license

In this arrangement, the user imports her license into the RDS platform. It is the user's responsibility to keep the license, database instance class, and database edition all in sync. The user directly contacts the Oracle support channel for any need. In this model the supported editions are Enterprise Edition (EE), Standard Edition (SE), Standard Edition One (SE1) and Standard Edition Two (SE2).


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Ques: 13). If I delete my DB Instance, what happens to my backups and DB Snapshots?

Answer: 

When you delete a database instance, you have the option of creating a final database snapshot, which you can use to restore your database. After the instance is removed, RDS keeps this user-made DB snapshot together with all other manually created DB snapshots. Automated backups are also deleted, leaving just manually created DB Snapshots.


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Ques: 14).  How can I load data into Amazon Redshift from various data sources such as Amazon RDS, Amazon DynamoDB, and Amazon EC2?

Answer: 

You have two options for loading the data:

The COPY command can be used to load data into Amazon Redshift in parallel from Amazon EMR, Amazon DynamoDB, or any SSH-enabled server.

AWS Data Pipeline is a fault-tolerant, high-performance solution for loading data from a range of AWS data sources. To load your data into Amazon Redshift, you can utilise AWS Data Pipeline to specify the data source, required data transformations, and then run a pre-written import script.


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Ques: 15). What is an RDS instance, and how does it work?

Answer: 

The Amazon Relational Database Service (Amazon RDS) is a web service that lets you easily construct a cloud-based relational database instance. Amazon RDS administers the database instance on your behalf, including backups, failover, and database software maintenance. Read Replicas, which are RDS instances that act as copies of the source master database for handling read-requests, can be launched for read-heavy applications. A source DB instance can have up to five (5) Read Replicas attached to it. The existing RDS Instances in the selected AWS region are listed on the Instances page. The information for an existing RDS Instance are displayed when you click on it.

Fields

Name - unique name/identifier for the RDS instance.

Engine - The version of the MySQL or Oracle engine of the RDS Instance.

RDS Subnet Group - The group of RDS Subnets for the VPC.

Availability Zone - The availability zone into which the RDS Instance will be created and launched.

Multi-AZ - Indicates that the RDS Instance will be used in a multiple availability zone configuration.

Instance class - If you selected a different instance type, the existing instance will be terminated and new RDS instance will be launched.

Storage - storage size in GBs for the instance that will be allocated for storing data.

Source instance - If the instance is a Read Replica, it will list the name of the source DB instance.

Status - The status of the RDS Instance (creating, modifying, available, rebooting, deleting). An RDS Instance will only be accessible when its status is 'available'.

 

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Ques: 16). What is Amazon Aurora and how does it work?

Answer: 

Amazon Aurora is a form of cloud-based relational database that works with MySQL and PostgreSQL. It performs five times faster than MySQL and three times faster than PostgreSQL. The performance and availability of traditional databases are combined with the simplicity and cost-effectiveness of open-source databases in this hybrid database type. Because Amazon RDS manages this database completely, operations like hardware provisioning, database setup, patching, and backups are all automated.


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Ques: 17). Which Amazon Web Services services will you use to collect and process e-commerce data in real time for analysis?

Answer: 

For real-time analysis, I'll utilise DynamoDB to collect and handle e-commerce data. DynamoDB is a fully managed NoSQL database service for unstructured data. It can even be used to extract e-commerce information from websites. RedShift may then be used to perform analysis on the retrieved e-commerce data. Elastic MapReduce can be utilised for analysis as well, but we won't use it here because real-time analysis isn't required.


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Ques: 18). What happens if a user deletes a dB instance? What happens to the dB snapshots and backups?

Answer: 

The user is given the option of taking a last dB snapshot when a dB instance is removed. If you do so, your information from the snapshot will be restored. When the dB instance is removed, AWS RDS preserves all of the user-made dB snapshots together with all of the other manually created dB snapshots. Automated backups are erased at the same time, but manually produced dB snapshots are kept.


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Ques: 19). What Is A Dynamodbmapper Class And How Does It Work?

Answer: 

The DynamoDB's entry point is the mapper class. It allows users to access the endpoint and input the DynamoDB. Users can use the DynamoDB mapper class to retrieve data stored in various databases, run queries, scan them against the tables, and perform CRUD activities on the data items.


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Ques: 20). What is the RDS interface, and how does it work?

Answer: 

To use the RDS service, Amazon provides an RDS interface. An RDS interface is required to interact with the RDS service, such as reading data, uploading data, and running other programmes.

The GUI Console, Command Line Interface, and AWS API are the three main interfaces available.

A GUI Console is the most basic interface via which users can interact with the RDS Service.

The Command Line Interface (CLI) provides you with CLI access to the service, allowing you to run DB commands and interact with it.

An AWS API is an Application Programming Interface that allows two systems to exchange data.


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