Netapp NS0-604 Dumps

To accommodate the 800 new temporary users in an Azure Virtual Desktop environment usingAzure NetApp Files, the company should:

Move existing user-profile volumes from the Premium service level to the Ultra service level (B): The Ultra service level provides higher throughput and IOPS, which will support the increased workload from the additional 800 users, ensuring better performance.

Increase the volume quota size on existing user-profile volumes (C): Expanding the volume quota will ensure that there is enough capacity to store the profiles of the additional users, preventing performance issues due to storage capacity limits.

Global File Cache integration (A)andcross-region replication (D)are not necessary for this specific requirement of supporting more users in the same region.

After a merger with hundreds of branch office locations, the company needs to centralize unstructured data and consolidate the branch office storage infrastructure. The best NetApp technology for this requirement isGlobal File Cache. Global File Cache centralizes unstructured data into a core data center or cloud while maintaining fast access and performance at branch offices by caching frequently accessed data locally. This solution reduces the need for local storage infrastructure at each branch, optimizing data access and consolidation across multiple sites.

Other options likeBlueXP replication (A),FlexCache (C), andCloud Volumes ONTAP (D)offer various functionalities, but Global File Cache is designed specifically for consolidating and centralizing data from branch offices while preserving performance.

When deploying NetApp Cloud Volumes ONTAP on Amazon Web Services (AWS), for applications that uselarge sequential I/O, the key workload characteristic used for sizing Amazon Elastic Block Store (Amazon EBS) isMBps (megabytes per second). Large sequential I/O workloads, such as video streaming or backup operations, typically require high throughput rather than high IOPS (input/output operations per second).

Capacity (A)andIOPS (B)are important for other types of workloads, such as databases, whileCPU (C)is related to processing power but not specific to large sequential I/O. For these workloads, throughput, measured in MBps, is the critical sizing metric.

NetApp StorageGRID'sInformation Lifecycle Management (ILM)policies offer the key benefit ofautomated data optimization. ILM policies enable the system to automatically manage data placement and retention across different storage tiers and locations based on factors such as data age, usage patterns, and performance requirements. This ensures that frequently accessed data is placed on high-performance storage, while older or less critical data can be moved to lower-cost storage, optimizing resource use and reducing costs.

While ILM policies can contribute toimproved data security (A)andsimplified data access controls (D), their primary focus is on optimizing data storage over its lifecycle.Real-time data analytics capabilities (C)are not a core feature of ILM policies.

When deployingNetApp Cloud Volumes ONTAPfor an Amazon Elastic Container Service (Amazon ECS) workload that involveslarge sequential I/O, the sizing characteristic to consider isMBps(megabytes per second). Large sequential I/O workloads, such as video streaming or backup operations, typically rely on high throughput rather than random IOPS.

Capacity (B)andIOPS (C)are important for other workload types, whileCPU (D)is less relevant for storage throughput requirements in this context.

NetApp AutoSupport requires outbound access to specific endpoints for delivering support data, and this communication occurs overHTTPS (port 443). The two provided NetApp AutoSupport URLs are accessed via secure HTTP (HTTPS), so the company must configure routing and firewall policies to allow outbound HTTPS traffic.

Blocking HTTPS traffic by default would prevent the AutoSupport service from functioning, which is critical for sending diagnostic information to NetApp support for monitoring and troubleshooting.

Options likeNFS/SMB traffic (B),SSH/RDP traffic (C), andDNS traffic (D)are irrelevant in this context, as AutoSupport only requires secure web traffic via HTTPS.

The customer is using 30TB of capacity in NetApp Cloud Volumes ONTAP but only 10TB of this capacity is actively in use. The most cost-efficient solution in this case is toimplement data tiering and optimization. Data tiering moves inactive or cold data to lower-cost storage (such as object storage in Azure), while keeping frequently accessed data on higher-performance storage. This strategy allows the customer to reduce costs by only paying for premium storage for the data that is actively in use, while moving less frequently accessed data to a cheaper storage tier.

Storing all data in the premium storage tier (A)would increase costs rather than reduce them.BlueXP backup and recovery (B)is for data protection, not cost optimization.Deploying an additional single-node Cloud Volumes ONTAP instance (D)would increase storage costs rather than optimize them.

For continuously scanning various data sources to ensure regulatory compliance,NetApp BlueXP Classificationis the appropriate solution. This service helps organizations identify and classify sensitive data across their environments, ensuring that they meet compliance requirements such as healthcare regulations (HIPAA, for example).

Operational resiliency (A)focuses on system reliability,Digital advisor (B)offers system performance insights, andRansomware protection (D)deals with security threats rather than compliance scanning.

For securing Azure NetApp Files and ensuring the confidentiality of data, a critical security feature isdouble encryption at rest. This technique involves encrypting the data twice at rest, once at the storage level using Azure’s default encryption and again using NetApp's built-in encryption features such as NetApp Volume Encryption (NVE). Double encryption provides an additional layer of protection, significantly reducing the risk of data breaches or unauthorized access.

Whilenetwork security groups (A)andKerberos encryption (C)play roles in protecting network traffic and securing authentication, they do not address the need for data encryption at rest, which is critical for confidentiality.Virtual Network Encryption (B)is also related to encrypting network data but doesn't focus on encryption at rest.

In highly regulated environments where data confidentiality is paramount,double encryption at restensures that even if one encryption layer is compromised, the data remains protected by the second encryption layer, thereby greatly enhancing security.

NetApp Keystone Storage as a Service (STaaS) offers various service levels depending on performance and latency requirements. For workloads that require less than 2ms latency, the two relevant service levels are:

Extreme (A): This service level is designed for the most latency-sensitive and high-performance workloads. It provides ultra-low latency (<2ms) and is ideal for applications that demand top-tier performance.

Premium (C): The Premium service level also supports low latency, typically less than 2ms, making it suitable for workloads with moderate to high performance requirements.

Standard (B)andPerformance (D)service levels provide higher latency and are not suitable for workloads requiring less than 2ms latency.

NetApp StorageGRID provides high availability (HA) by leveraging several key technologies, and one of the primary benefits in an HA environment is the use ofvirtual IP addresses (VIPs). In a high-availability configuration, StorageGRID uses VIPs to ensure continuous access to the service, even if one of the StorageGRID nodes becomes unavailable.

By using VIPs, StorageGRID ensures that requests to the system can be dynamically rerouted to an available node, providing seamless failover and reducing downtime in the case of node failures. This ensures that clients continue to connect without disruptions, contributing to the overall resilience and availability of the environment.

While options like zero data loss (B) are important, they are not guaranteed in every failover scenario without a well-designed backup or data replication system. Focusing on data retrieval speed (C) or single-instance redundancy (D) doesn't directly pertain to how NetApp StorageGRID handles high availability.

In the scenario where Azure Virtual Desktop uses Azure NetApp Files with FSLogix profile containers, the customer should useContinuous Availabilityto ensure that operations on Azure NetApp Files are maintained without interrupting access to the data. Enabling the Continuous Availability feature ensures that file shares can remain available during planned or unplanned outages, which is critical for maintaining seamless user access in an Azure Virtual Desktop environment.

Other options likeCross-Zone Replication (A)andAzure NetApp Files Snapshot (D)provide data protection and backup but do not guarantee continuous access during operations.Volume Placement (C)is related to optimizing performance but not ensuring uninterrupted access.

To replicate a NAS volume from an on-premises AFF (All-Flash FAS) cluster toAzure NetApp Files, the customer should useNetApp BlueXP Replication. This replication technology facilitates data synchronization and replication between ONTAP systems and Azure NetApp Files, making it ideal for hybrid cloud data mobility.

NetApp BlueXP copy and sync (A)is for file migration,BlueXP tiering (B)is for storage optimization, andAzure Site Recovery (D)is focused on VM disaster recovery, not NAS volume replication.

If a customer needs to run some of theirNetApp Cloud Volumes ONTAP instances on-premises, the best solution would beAzure Stack. Azure Stack extends Azure cloud capabilities to on-premises environments and supports hybrid workloads, including those based on Cloud Volumes ONTAP.

Other options likeVMware Cloud (A),AWS Outpost (B), andGoogle Anthos (C)are cloud extensions but are not directly integrated with Cloud Volumes ONTAP in the same way as Azure Stack, which provides a native extension of Azure services to on-premises infrastructure.

When migrating SMB data and Access Control Lists (ACLs) to Azure NetApp Files, Active Directory integration is necessary for user authentication and permission management. The following two solutions are supported:

Active Directory Domain Services (AD DS) (A): AD DS is the traditional, on-premises Active Directory solution that provides authentication and authorization services. Azure NetApp Files can integrate with on-premises AD DS, enabling the migration of SMB data along with the corresponding ACLs.

Azure Active Directory Domain Services (Azure AD DS) (C): Azure AD DS provides managed domain services in the cloud and supports Active Directory features such as domain join, group policies, and LDAP. It is compatible with Azure NetApp Files, allowing seamless migration and access control management for SMB workloads in the cloud.

Azure Active Directory (Azure AD) (B)andAzure Identity and Access Management (D)focus more on user identity management rather than direct SMB file system integration, and they are not suitable for handling file system ACLs and SMB shares.

For setting up disaster recovery in theCentral USregion for an existing Azure NetApp Files workload in theEast US2region, the customer should usecross-region replication. This feature allows datareplication across different Azure regions, providing a robust disaster recovery solution by keeping a secondary copy of the data in a geographically separate location.

Cross-zone replication (A)deals with replication within the same region across availability zones.SnapMirror (B)andSyncMirror (C)are ONTAP-specific replication technologies but are not directly applicable to Azure NetApp Files in this scenario.

When migrating an application with SAN storage from on-premises to Azure, and requiringiSCSI connectivity, the correct solution isCloud Volumes ONTAP. Cloud Volumes ONTAP provides a flexible storage solution in the cloud, supporting block-based storage protocols like iSCSI, which is ideal for SAN environments. It allows for seamless integration with existing infrastructure while providing enterprise-class data management features in the cloud.

StorageGRID (B)is an object storage solution,Global File Cache (C)is for file-based caching, andAzure NetApp Files (D)is focused on NFS and SMB file protocols, not iSCSI.

The issue where the Linux client shows that the NFS volume is full, despite the AWS dashboard showing available capacity in the Amazon FSx for NetApp ONTAP file system, suggests that the allocated volume size within ONTAP is smaller than the total capacity available. To resolve this, the customer shouldenable volume autosizing. Autosizing allows the volume to automatically increase in size as needed, preventing issues where the volume becomes full while the underlying file system still has available storage.

Increasing the capacity of the file system (B)is not necessary since the file system already has free space.Deleting snapshots (C)can free up some space, but autosizing is a more efficient solution.Tiering cold data (D)addresses long-term storage management but won’t resolve the immediate issue of the volume being full.

NetApp Cloud Volumes ONTAPsupportsNetApp Volume Encryption (NVE)with the cloud provider's key vault for encryption key management. NVE provides encryption at the volume level and integrateswith external key management systems, such as AWS KMS, Azure Key Vault, and Google Cloud KMS, making it the appropriate encryption solution for cloud deployments.

NetApp Aggregate Encryption (NAE) (C)is used for on-premises environments.Transparent Data Encryption (TDE) (A)is commonly used for database encryption, andOnboard Key Manager (OKM) (B)is a different key management solution not tied to cloud key vaults.