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A return merchandise authorization (RMA), return authorization (RA) or return goods authorization (RGA) is a part of the process of returning a product to receive a refund, replacement, or repair to which buyer and seller agree during the product's warranty period. [1] [2]
We'll send you a text or call you with a new code that needs to be entered at sign-in. The phone number we contact you with may be different each time. Enable 2-step for phone. 1. Sign in to your Account Security page. 2. Next to "2-Step Verification," click Turn on. 3. Select Phone number for your 2-step verification method. 4.
If there's something unusual about your sign in or recent activity, we'll ask you to go through another verification step after you've entered the correct password. This is an important security feature that helps to protect your account from unauthorized access.
Cash App users have less than 24 hours to file a claim to get some cash from a $15 million settlement.. If their Cash App account was a part of a December 2021 data and security breach, users of ...
Authorization is the responsibility of an authority, such as a department manager, within the application domain, but is often delegated to a custodian such as a system administrator. Authorizations are expressed as access policies in some types of "policy definition application", e.g. in the form of an access control list or a capability , or ...
The authorization certificate works in conjunction with a public key certificate (PKC). While the PKC is issued by a certificate authority (CA) and is used as a proof of identity of its holder like a passport, the authorization certificate is issued by an attribute authority (AA) and is used to characterize or entitle its holder like a visa ...
Claims-based identity is a common way for applications to acquire the identity information they need about users inside their organization, in other organizations, and on the Internet. [1] It also provides a consistent approach for applications running on-premises or in the cloud .
Rather the system learns by reviewing a relatively small number of invoice samples. This helps the system scale to large invoice volumes and widely varying document layouts without requiring a human operator to specify a template for each one, or explicitly create and tune an extensive library of keywords.